https://simplecast.com Wevolver Robots in Depth Robots in Depth (RID) is an interview series with everyone in robotics, from top entrepreneurs, investors and corporate leaders to researchers, political policy makers and domain experts. The episodes are 30-60 minutes long, and a new episode is published each week. The format of RID is that of a talk show with one host and one interviewee, both in the same space. The interviews are relaxed and conversational in style and cover every aspect of robotics. Per Sjöborg hosts Robots in Depth. He is an experienced interviewer in the field of robotics, interviewing robotics experts regularly since he started his podcast in 2010. Per is well connected in the robotics community and has attended the industry’s major events since 2008. 2019 - Wevolver Ltd en Fri, 13 Mar 2020 15:13:24 +0000 Thu, 29 Jan 2026 15:14:20 +0000 https://podcast.wevolver.com Wevolver Robots in Depth https://image.simplecastcdn.com/images/d72f2546-85ce-467b-a53a-6d721a16b113/cae2002e-2a19-4618-ae09-44a72ad36c5a/3000x3000/robots-in-depth.jpg?aid=rss_feed https://podcast.wevolver.com episodic Wevolver, a platform that enables engineers to discover and learn about new technologies. Robots in Depth (RID) is an interview series with everyone in robotics, from top entrepreneurs, investors and corporate leaders to researchers, political policy makers and domain experts. The episodes are 30-60 minutes long, and a new episode is published each week. The format of RID is that of a talk show with one host and one interviewee, both in the same space. The interviews are relaxed and conversational in style and cover every aspect of robotics. Per Sjöborg hosts Robots in Depth. He is an experienced interviewer in the field of robotics, interviewing robotics experts regularly since he started his podcast in 2010. Per is well connected in the robotics community and has attended the industry’s major events since 2008. Wevolver false https://feeds.simplecast.com/8XmnBqlg podcast, engineering, science, robotics, robot, technology, stem, 3d printing, ai, machine learning, autonomous vehicles, artificial intelligence, drones, robotics engineer Richard Hulskes richard@wevolver.com 4f287e2c-f1b4-439a-91da-8bd64f8a992b Building millimeter sized robots w/Professor Julien Bourgeois Julien Bourgeois talks about self-reconfiguring modular robotics and how he is developing millimeter sized robots called Claytronics.

Julien started out as a computer scientist. He was always interested in robotics privately but then had the opportunity to get into micro robots when his lab was merged into the FEMTO-ST Institute. He later worked with Seth Copen Goldstein at Carnegie Mellon on the Claytronics project.

He tells us how he works on creating a world built with programmable material that would allow objects to change their form and function automatically by running a program. This will create smart objects that can adapt to the world around them and user preference in a totally new way. 

One large benefit of programmable matter is that development can happen both in the computer and in the real world with changes transferred between them. A change done in the code would appear in the part made up of programmable matter, but the part can also be changed in the real world and the change would be transferred to the program controlling it. This would create a very flexible, dynamic and highly intuitive design process.

The structures based on programmable matter also exhibit many very special characteristics. They can be self-healing if they get damaged, they can dynamically respond to load and be as strong as needed, they can degrade gracefully and predictably and can even indicate that they are overloaded and might fail so that the user can take the appropriate actions.

We also learn about a system for sorting very small components he built and how cameras could not be applied.

Per and Julien discuss how developing programmable material is hard and that many difficult problems have to be overcome. At the same time, many problems with the current way of doing things will be solved in a fundamentally better way by systems built with
programmable matter.

Julien shows an enlarged mock-up of the small robots that make up programmable matter, catoms, and speaks about how they are designed. Currently he is working on a unit that is one centimeter in diameter and he shows us the very small CPU that goes into that model.

There is also an art project in progress, using another version of programmable material building blocks.

More about the small CPUs mentioned at https://www.cubeworks.io This episode was recorded at ICML, IJCAI-ECAI, AAMAS in Stockholm, Sweden 2018.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

 

]]> Fri, 13 Mar 2020 15:13:24 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/building-millimeter-sized-robots-w-professor-julien-bourgeois-O_V8D5ia Julien Bourgeois talks about self-reconfiguring modular robotics and how he is developing millimeter sized robots called Claytronics.

Julien started out as a computer scientist. He was always interested in robotics privately but then had the opportunity to get into micro robots when his lab was merged into the FEMTO-ST Institute. He later worked with Seth Copen Goldstein at Carnegie Mellon on the Claytronics project.

He tells us how he works on creating a world built with programmable material that would allow objects to change their form and function automatically by running a program. This will create smart objects that can adapt to the world around them and user preference in a totally new way. 

One large benefit of programmable matter is that development can happen both in the computer and in the real world with changes transferred between them. A change done in the code would appear in the part made up of programmable matter, but the part can also be changed in the real world and the change would be transferred to the program controlling it. This would create a very flexible, dynamic and highly intuitive design process.

The structures based on programmable matter also exhibit many very special characteristics. They can be self-healing if they get damaged, they can dynamically respond to load and be as strong as needed, they can degrade gracefully and predictably and can even indicate that they are overloaded and might fail so that the user can take the appropriate actions.

We also learn about a system for sorting very small components he built and how cameras could not be applied.

Per and Julien discuss how developing programmable material is hard and that many difficult problems have to be overcome. At the same time, many problems with the current way of doing things will be solved in a fundamentally better way by systems built with
programmable matter.

Julien shows an enlarged mock-up of the small robots that make up programmable matter, catoms, and speaks about how they are designed. Currently he is working on a unit that is one centimeter in diameter and he shows us the very small CPU that goes into that model.

There is also an art project in progress, using another version of programmable material building blocks.

More about the small CPUs mentioned at https://www.cubeworks.io This episode was recorded at ICML, IJCAI-ECAI, AAMAS in Stockholm, Sweden 2018.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

 

]]> Building millimeter sized robots w/Professor Julien Bourgeois Per Sjöborg 00:45:57 Julien Bourgeois is professor of computer science at the University of Franche-Comté (UFC) in France. He is part of the FEMTO-ST institute (UMR CNRS 6174) where he leads the complex networks team. His research interests are in distributed intelligent MEMS, P2P networks and security management for complex networks. He is currently visiting professor at Carnegie Mellon University. He has been invited professor at Emory University (US) in 2011 and in Hong Kong Polytechnic University in 2010 and 2011. He co-lead the distributed sensor/actuators MEMS network topic in the CNRS PPF Distributed Intelligent Microsystems. He created and then co-led the Smart Surface project. In 2011, he created the Smart Blocks project which aims at building a self-reconfigurable conveying modular plate-form composed of MEMS sensors and actuators. Julien Bourgeois is professor of computer science at the University of Franche-Comté (UFC) in France. He is part of the FEMTO-ST institute (UMR CNRS 6174) where he leads the complex networks team. His research interests are in distributed intelligent MEMS, P2P networks and security management for complex networks. He is currently visiting professor at Carnegie Mellon University. He has been invited professor at Emory University (US) in 2011 and in Hong Kong Polytechnic University in 2010 and 2011. He co-lead the distributed sensor/actuators MEMS network topic in the CNRS PPF Distributed Intelligent Microsystems. He created and then co-led the Smart Surface project. In 2011, he created the Smart Blocks project which aims at building a self-reconfigurable conveying modular plate-form composed of MEMS sensors and actuators. innovation, robot, technology, engineer, research, robotics, engineering false full 51 d794a022-94d1-466c-b57b-3e3a9114427c Rescue robotics & using machine learning to detect gasses w/Achim Lilienthal Achim  talks about rescue robotics and how he is working with integrating sensors that can work and be useful in this challenging application like gas sensors. 

Achim got in to robotics from working in physics when the team hid did his PhD worked on gas sensors and he saw an opportunity to contribute based on his background in physics.

He also talks about a strong personal reason for developing gas sensors as a family member was killed in a gas explosion when he was a kid.

We also hear more about the challenges in using commercial senors that are intended for lab use and not for field use mounted on a robot.
He talks about how he implements machine learning to detect gasses that was not meant to be in that particular situation.
We also get to hear about how you can use different sensors to create a fingerprint of the gases in a situation and how you can use this to great a “heat map” describing what gases are there and at what concentration.
This can help in determening the risk of an explosion by sensing gas type, consentration and heat.

He also tells us about the smokebot project that aims to oreduce risks for emergensy personel and to use resourcess mor eficently in an timecritical amergency situation.

We hear about why it is very hard to deploy robots in many emergensy situations and especilay in fires where there are smoke that blocks most sensrors blinding the robot. One of the few sensors that actually still works are radar and that can offer great asistance to firefighters.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Wed, 11 Mar 2020 19:58:18 +0000 richard@wevolver.com (Per Sjoborg) https://podcast.wevolver.com/episodes/rescue-robotics-using-machine-learning-to-detect-gasses-w-achim-lilienthal-vXCziZ8g Achim  talks about rescue robotics and how he is working with integrating sensors that can work and be useful in this challenging application like gas sensors. 

Achim got in to robotics from working in physics when the team hid did his PhD worked on gas sensors and he saw an opportunity to contribute based on his background in physics.

He also talks about a strong personal reason for developing gas sensors as a family member was killed in a gas explosion when he was a kid.

We also hear more about the challenges in using commercial senors that are intended for lab use and not for field use mounted on a robot.
He talks about how he implements machine learning to detect gasses that was not meant to be in that particular situation.
We also get to hear about how you can use different sensors to create a fingerprint of the gases in a situation and how you can use this to great a “heat map” describing what gases are there and at what concentration.
This can help in determening the risk of an explosion by sensing gas type, consentration and heat.

He also tells us about the smokebot project that aims to oreduce risks for emergensy personel and to use resourcess mor eficently in an timecritical amergency situation.

We hear about why it is very hard to deploy robots in many emergensy situations and especilay in fires where there are smoke that blocks most sensrors blinding the robot. One of the few sensors that actually still works are radar and that can offer great asistance to firefighters.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Rescue robotics & using machine learning to detect gasses w/Achim Lilienthal Per Sjoborg 00:38:52 Achim Lilienthal a professor for Computer Science at Örebro University and head of the Mobile Robotics and Olfaction (MRO) Lab, a research group at the AASS Research Centre formerly called the "Learning Systems Lab". By design, the research directions of the MRO Lab are aligned with his personal research interests. The general focus is on perception systems for mobile robots that operate in unconstrained, dynamic environments. A major aim is to integrate research results timely in industrial demonstrators. More specifically, his research addresses Rich 3D Perception, Robot Vision and Mobile Robot Olfaction. Achim Lilienthal a professor for Computer Science at Örebro University and head of the Mobile Robotics and Olfaction (MRO) Lab, a research group at the AASS Research Centre formerly called the "Learning Systems Lab". By design, the research directions of the MRO Lab are aligned with his personal research interests. The general focus is on perception systems for mobile robots that operate in unconstrained, dynamic environments. A major aim is to integrate research results timely in industrial demonstrators. More specifically, his research addresses Rich 3D Perception, Robot Vision and Mobile Robot Olfaction. technology, robotics, engineering false full 50 d4c0aaa4-d2e3-4f80-91ea-5526ea605762 The impact of robots who start taking decisions like humans do. w/Cristina Andersson Cristina talks about the impact off the ever growing set of tasks that robots can perform and that they can start taking taking decisions like humans do. 

In 2013 she organized events in Finland during European robotics week and found that many people was very interested but that there was also a big lack of knowledge.

She calls of more visions on how we can use robotics to address the challenges society face today. She is especially interested in three areas,

Demography, many countries are facing a big change in the numbers of working to non working. She thinks that we need to develop technologies to address the needs of everyone and assure that it is accessible for everyone that needs it.

She also sees that robotics have a big role to play in exploring environments that are hostile to humans and that they can make it possible for us to better understand thees environments. This understanding will make it easier to address the most important issues in a efficient way.

Her third focus is making education accessible for everyone. When large transformations happen due to the introduction of new technologies it is very important to make it possible for everyone to participate and then education is critical. This is absolutely true for robotics.

She also talks about introducing robotics in society in a way that makes it easy for everyone to understand the benefits as this will make the process much easier. When people see the clear benefits in one field or situation they will be much more interested in bringing robotics in to their private or professional lives.

She also talks about the Bestick robot that helps people that can not eat by them self, and how profound this is, giving some one back an ability that most of us take for granted.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Wed, 4 Mar 2020 17:47:48 +0000 richard@wevolver.com (Per Sjoborg) https://podcast.wevolver.com/episodes/the-impact-of-robots-who-start-taking-takingdecisions-like-humans-do-w-cristina-andersson-EVZ3_K_P Cristina talks about the impact off the ever growing set of tasks that robots can perform and that they can start taking taking decisions like humans do. 

In 2013 she organized events in Finland during European robotics week and found that many people was very interested but that there was also a big lack of knowledge.

She calls of more visions on how we can use robotics to address the challenges society face today. She is especially interested in three areas,

Demography, many countries are facing a big change in the numbers of working to non working. She thinks that we need to develop technologies to address the needs of everyone and assure that it is accessible for everyone that needs it.

She also sees that robotics have a big role to play in exploring environments that are hostile to humans and that they can make it possible for us to better understand thees environments. This understanding will make it easier to address the most important issues in a efficient way.

Her third focus is making education accessible for everyone. When large transformations happen due to the introduction of new technologies it is very important to make it possible for everyone to participate and then education is critical. This is absolutely true for robotics.

She also talks about introducing robotics in society in a way that makes it easy for everyone to understand the benefits as this will make the process much easier. When people see the clear benefits in one field or situation they will be much more interested in bringing robotics in to their private or professional lives.

She also talks about the Bestick robot that helps people that can not eat by them self, and how profound this is, giving some one back an ability that most of us take for granted.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> The impact of robots who start taking decisions like humans do. w/Cristina Andersson Per Sjoborg 00:39:15 Cristina Andersson started out as a business consultant for major Finish companies and got interested in the quickly growing opportunities in robotics when she wrote a book on the subject. The key word for here in this work was autonomous, robots constantly expand the type of decisions they can take and that makes it possible to use them in ever more situations and their value increase quickly. Cristina Andersson started out as a business consultant for major Finish companies and got interested in the quickly growing opportunities in robotics when she wrote a book on the subject. The key word for here in this work was autonomous, robots constantly expand the type of decisions they can take and that makes it possible to use them in ever more situations and their value increase quickly. false full 49 d1889d41-bbfe-495c-91b7-6f7f74b1cba5 Computer vision for field use in agriculture and recycling w/Michael Nielsen Michael talks about his work in computer vision for field use in agriculture and recycling. 

He started out in computer vision in the agriculture space doing machine vision and 3D reconstruction of plants. He then moved to the Danish Technological Institute when they expanded their work on machine vision for field use in agriculture.

Michael worked with a fusion of sensors like stereo vision, thermography, radar, lidar and high frame rate cameras, merging multiple images for high dynamic range. All this to be able to navigate the tricky situation in a farm field where you need to navigate close to or even in what is grown. Multi-baseline cameras were also used to provide range detection over a wide range of distances.

We also learn about how he expanded his work into sorting recycling, a very challenging problem. Here the sensor fusion gives him RGB as well as depth and temperature. Adding a powerful studio flash to the setup allowed him to heat the material being sorted, making it possible to determine the material, depending on how it absorbs the heat from the flash. Michael is also working on adding cameras capable of seeing above the human range of vision to make it easy to specify which materials to pick. We also hear about the problems faced when using time of flight and sheet of light cameras. He then shares some good results using stereo vision, especially combined with blue light random dot projectors.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.

Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Fri, 28 Feb 2020 12:18:05 +0000 richard@wevolver.com (Per Sjoborg) https://podcast.wevolver.com/episodes/computer-vision-for-field-use-in-agriculture-and-recycling-w-michael-nielsen-U5A9UI0f Michael talks about his work in computer vision for field use in agriculture and recycling. 

He started out in computer vision in the agriculture space doing machine vision and 3D reconstruction of plants. He then moved to the Danish Technological Institute when they expanded their work on machine vision for field use in agriculture.

Michael worked with a fusion of sensors like stereo vision, thermography, radar, lidar and high frame rate cameras, merging multiple images for high dynamic range. All this to be able to navigate the tricky situation in a farm field where you need to navigate close to or even in what is grown. Multi-baseline cameras were also used to provide range detection over a wide range of distances.

We also learn about how he expanded his work into sorting recycling, a very challenging problem. Here the sensor fusion gives him RGB as well as depth and temperature. Adding a powerful studio flash to the setup allowed him to heat the material being sorted, making it possible to determine the material, depending on how it absorbs the heat from the flash. Michael is also working on adding cameras capable of seeing above the human range of vision to make it easy to specify which materials to pick. We also hear about the problems faced when using time of flight and sheet of light cameras. He then shares some good results using stereo vision, especially combined with blue light random dot projectors.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.

Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Computer vision for field use in agriculture and recycling w/Michael Nielsen Per Sjoborg 00:36:35 Michael Nielsen is consultant at the Teknologisk Institut in Taastrup. He specializes in media technology such as interface design, tool progamming (MFC), signal- and image processing, pattern recognition, 3D reconstruction, computer vision, ray tracing, color and light theory, and shadow segmentation. His goal is to create innovative media products that will merge the real world with electronic world for enhanced productibility and immersion. The systems should be a natural part of modern life and thus be aware of the dynamic environment that surrounds them. Michael Nielsen is consultant at the Teknologisk Institut in Taastrup. He specializes in media technology such as interface design, tool progamming (MFC), signal- and image processing, pattern recognition, 3D reconstruction, computer vision, ray tracing, color and light theory, and shadow segmentation. His goal is to create innovative media products that will merge the real world with electronic world for enhanced productibility and immersion. The systems should be a natural part of modern life and thus be aware of the dynamic environment that surrounds them. ai, technology, robotics, machine vision, machine learning false full 48 c52c3ad5-d1f6-49ad-9b68-3d9d19dab3ed Understanding the world around you using game theory w/Nicole Immorlica Nicole  talks about game theory and how she feels that it is her way to understand the world around her. 

Nicole talks about game theory, a way to understand how intelligent agents, humans or machines, interact and optimize their outcome in a particular context.

Nicole discusses how this process can be used to create user interactions that are understandable and can be used efficiently.

We also hear about how dynamic games apply to robotics and how robots deal with the ever-changing world they act in.

Nicole then talks about a trend in market design where large amounts of data about previous behavior is used to redesign the market and optimize it. We also hear about how this is used to understand how people use and interact on social media platforms.

She also shares how game theory can be used to explain behavior that is not optimal, for instance in procrastination.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

 

]]> Fri, 21 Feb 2020 14:14:45 +0000 richard@wevolver.com (Per Sjoborg) https://podcast.wevolver.com/episodes/understanding-the-world-around-you-using-game-theory-w-nicole-immorlica-GxivSfRU Nicole  talks about game theory and how she feels that it is her way to understand the world around her. 

Nicole talks about game theory, a way to understand how intelligent agents, humans or machines, interact and optimize their outcome in a particular context.

Nicole discusses how this process can be used to create user interactions that are understandable and can be used efficiently.

We also hear about how dynamic games apply to robotics and how robots deal with the ever-changing world they act in.

Nicole then talks about a trend in market design where large amounts of data about previous behavior is used to redesign the market and optimize it. We also hear about how this is used to understand how people use and interact on social media platforms.

She also shares how game theory can be used to explain behavior that is not optimal, for instance in procrastination.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

 

]]> Understanding the world around you using game theory w/Nicole Immorlica Per Sjoborg 00:36:46 Nicole Immorlica is a senior principle researcher at Microsoft whos research lies broadly within the field of algorithmic game theory. Using tools and modeling concepts from both theoretical computer science and economics, Nicole hopes to explain, predict, and shape behavioral patterns in various online and offline systems, markets, and games. Her areas of specialty include social networks and mechanism design. Nicole received her Ph.D. from MIT in Cambridge, MA in 2005 and then completed three years of postdocs at both Microsoft Research in Redmond, WA and CWI in Amsterdam, Netherlands before accepting a job as an assistant professor at Northwestern University in Chicago, IL in 2008. She joined the Microsoft Research New England Lab in 2012. Nicole Immorlica is a senior principle researcher at Microsoft whos research lies broadly within the field of algorithmic game theory. Using tools and modeling concepts from both theoretical computer science and economics, Nicole hopes to explain, predict, and shape behavioral patterns in various online and offline systems, markets, and games. Her areas of specialty include social networks and mechanism design. Nicole received her Ph.D. from MIT in Cambridge, MA in 2005 and then completed three years of postdocs at both Microsoft Research in Redmond, WA and CWI in Amsterdam, Netherlands before accepting a job as an assistant professor at Northwestern University in Chicago, IL in 2008. She joined the Microsoft Research New England Lab in 2012. technology, robotics, machine learning, engineering false full 47 b843a771-a946-42dd-aa0d-c1f9886a13bb The social robot revolution w/Gabriel Skantze Gabriel Skantze talks about how he works with human robot communication, and about how the social robot revolution makes it necessary to communicate with humans in a human ways through speech and facial expressions. This is necessary as we expand the number of people that interact with robots as well as the types of interaction.

Gabriel gives us more insight into the many challenges of implementing spoken communication for co-bots, where robots and humans work closely together. They need to communicate about the world, the objects in it and how to handle them.

We also get to hear how having an embodied system using the Furhat robot head helps the interaction between humans and the system.
Having an expressive face like the Furhat adds many improvements to how a system can communicate with people. It also improves the human engagement and understanding of what the system tries to communicate significantly.

Gabriel then talks about the how they use AI and machine learning to understand speech. Understanding an individual speaker’s way to speak, thus adapting a robot to its user can improve their communication.

As the Furhat system is used out in the field, we get valuable insights from real world situations. One such case is guiding travellers at an airport to improve their experience and make travelling more efficient for everyone.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

]]> Wed, 12 Feb 2020 12:33:39 +0000 richard@wevolver.com (Richard Hulskes) https://podcast.wevolver.com/episodes/the-social-robot-revolution-w-gabriel-skantze-Nhp7lBCZ Gabriel Skantze talks about how he works with human robot communication, and about how the social robot revolution makes it necessary to communicate with humans in a human ways through speech and facial expressions. This is necessary as we expand the number of people that interact with robots as well as the types of interaction.

Gabriel gives us more insight into the many challenges of implementing spoken communication for co-bots, where robots and humans work closely together. They need to communicate about the world, the objects in it and how to handle them.

We also get to hear how having an embodied system using the Furhat robot head helps the interaction between humans and the system.
Having an expressive face like the Furhat adds many improvements to how a system can communicate with people. It also improves the human engagement and understanding of what the system tries to communicate significantly.

Gabriel then talks about the how they use AI and machine learning to understand speech. Understanding an individual speaker’s way to speak, thus adapting a robot to its user can improve their communication.

As the Furhat system is used out in the field, we get valuable insights from real world situations. One such case is guiding travellers at an airport to improve their experience and make travelling more efficient for everyone.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

]]> The social robot revolution w/Gabriel Skantze Richard Hulskes 00:38:28 Gabriel Skantze is co-founder and Chief Scientist at Furhat Robotics and Professor in speech technology at KTH with a specialization in conversational systems. He has a background in research into how humans use spoken communication to interact. In his research he studies human communication and develops computational models that allow computers and robots to speak face-to-face with humans. Gabriel Skantze is co-founder and Chief Scientist at Furhat Robotics and Professor in speech technology at KTH with a specialization in conversational systems. He has a background in research into how humans use spoken communication to interact. In his research he studies human communication and develops computational models that allow computers and robots to speak face-to-face with humans. false full 43 7fb596a2-45ce-42a1-9ec3-bba7edb0c385 Learnings from working + 20 years in robotics as an entrepreneur, teacher, lecturer, and researcher w/Lars Dalgaard Lars Dalgaard shares his experiences developing robots in many different contexts.

We hear about Lars’ early work with large mobile robotics in a commercial nursery garden handling the transfer of plants from the greenhouse to the field.

He also speaks about the Hydra project a self re-configuring modular robotics project that developed several different modular robotics systems including the Atron system.

Lars felt that there was a problem with the process used to introduce robotics and automation into society. Commercialization was hard and unreliable mostly because there was no focus on designing a complete system. This lead to an industrial PhD done at the Danish Technological Institute (DTI) focusing on a system level design approach.

He then talks about his work at DTI that focuses on transferring research, knowledge and research results from academia into companies and the Danish society in general.

One project Lars has been working on is augmenting mobile platforms so that they can handle tasks as they move around in a production facility. This also aims to make it easier to program the mobile platforms and any systems added to them.

Lars thinks that looking at the bigger picture and bringing multiple partners and end users into projects, and doing so early, can bring big benefits to a project.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

]]> Fri, 7 Feb 2020 10:36:17 +0000 richard@wevolver.com (Per Sjoborg) https://podcast.wevolver.com/episodes/learnings-from-working-20-years-in-robotics-as-an-entrepreneur-teacher-lecturer-and-researcher-w-lars-dalgaard-KhAO1JPe Lars Dalgaard shares his experiences developing robots in many different contexts.

We hear about Lars’ early work with large mobile robotics in a commercial nursery garden handling the transfer of plants from the greenhouse to the field.

He also speaks about the Hydra project a self re-configuring modular robotics project that developed several different modular robotics systems including the Atron system.

Lars felt that there was a problem with the process used to introduce robotics and automation into society. Commercialization was hard and unreliable mostly because there was no focus on designing a complete system. This lead to an industrial PhD done at the Danish Technological Institute (DTI) focusing on a system level design approach.

He then talks about his work at DTI that focuses on transferring research, knowledge and research results from academia into companies and the Danish society in general.

One project Lars has been working on is augmenting mobile platforms so that they can handle tasks as they move around in a production facility. This also aims to make it easier to program the mobile platforms and any systems added to them.

Lars thinks that looking at the bigger picture and bringing multiple partners and end users into projects, and doing so early, can bring big benefits to a project.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

]]> Learnings from working + 20 years in robotics as an entrepreneur, teacher, lecturer, and researcher w/Lars Dalgaard Per Sjoborg 00:38:11 Lars Dalgaard has worked with robot technology for more than 20 years as entrepreneur, teacher, lecturer, researcher, consultant, and since 2014 as Head of Service Robotics at the Danish Technological Institute, Robot Technology. Technology-wise his focus is on flexible mobile robots for logistics in industry and healthcare, and on civil deployment of autonomous drones for inspection and manipulation. Solution-wise his focus is on system-level design where the value proposition is created in the intersection between the technical, organisational, human, and economic needs and demands. Through the years, he's worked with robot technology in all shapes and sizes spanning from field robots and mobile robots for nursery gardens, over self- reconfigurable modular robots and modular robot technology for dynamic layout changes in pig stables, to butler robots and interactive room barriers. Lars Dalgaard has worked with robot technology for more than 20 years as entrepreneur, teacher, lecturer, researcher, consultant, and since 2014 as Head of Service Robotics at the Danish Technological Institute, Robot Technology. Technology-wise his focus is on flexible mobile robots for logistics in industry and healthcare, and on civil deployment of autonomous drones for inspection and manipulation. Solution-wise his focus is on system-level design where the value proposition is created in the intersection between the technical, organisational, human, and economic needs and demands. Through the years, he's worked with robot technology in all shapes and sizes spanning from field robots and mobile robots for nursery gardens, over self- reconfigurable modular robots and modular robot technology for dynamic layout changes in pig stables, to butler robots and interactive room barriers. innovation, robot, research, tech, robotics, dti, engineering false full 42 c7875b4c-7e14-43ae-860b-43b883e13cac Mimicking human decision making with algorithms w/Adjunct Professor Harri Ketamo Harri talks about AI and how he aims to mimic human decision making with algorithms.

Harri has done a lot of AI for computer games to create opponents that are entertaining to play against. It is easy to develop a very bad or a very good opponent, but designing an opponent that behaves like a human, is entertaining to play against and that you can beat is quite hard. He talks about how AI in computer games is a very important story telling tool and an important part of making a game entertaining to play.

This work led him into other parts of the AI field. Harri thinks that we sometimes have a problem separating what is real from what is the type of story telling he knows from gaming AI. He calls for critical analysis of AI and says that data has to be used to verify AI decisions and results.

We also hear about the current use of AI in among other things sports games, where the challenge is to make a believable computer copy of a real-world player to make the games feel more real.

We then get to hear about his current work in developing AI systems that create mind-maps from texts to make the computer able to determine the context. By doing this we can derive better sentiment and meaning. This AI system is trained using a large amount of reliable data from scientific papers and CNN.

One application of this that Harri is working on, is in the labor market matching needs for talent with available people. This will help companies find staff and people find job opportunities.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

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If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Wed, 5 Feb 2020 09:29:15 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/mimicking-human-decision-making-with-algorithms-w-adjunct-professor-harri-ketamo-2MgvubqH Harri talks about AI and how he aims to mimic human decision making with algorithms.

Harri has done a lot of AI for computer games to create opponents that are entertaining to play against. It is easy to develop a very bad or a very good opponent, but designing an opponent that behaves like a human, is entertaining to play against and that you can beat is quite hard. He talks about how AI in computer games is a very important story telling tool and an important part of making a game entertaining to play.

This work led him into other parts of the AI field. Harri thinks that we sometimes have a problem separating what is real from what is the type of story telling he knows from gaming AI. He calls for critical analysis of AI and says that data has to be used to verify AI decisions and results.

We also hear about the current use of AI in among other things sports games, where the challenge is to make a believable computer copy of a real-world player to make the games feel more real.

We then get to hear about his current work in developing AI systems that create mind-maps from texts to make the computer able to determine the context. By doing this we can derive better sentiment and meaning. This AI system is trained using a large amount of reliable data from scientific papers and CNN.

One application of this that Harri is working on, is in the labor market matching needs for talent with available people. This will help companies find staff and people find job opportunities.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Mimicking human decision making with algorithms w/Adjunct Professor Harri Ketamo Per Sjöborg 00:33:00 Harri Ketamo Ph.D., is an entrepreneur with 20 years of experience in cognitive sciences, computational intelligence, complex adaptive systems and game development. Currently he is founder & chairman of Headai, a company developing General Semantic AI for transparent decision making. He's also actively participating academic research as a senior fellow at University of Turku and at Satakunta University of Applied Sciences. Previously Ketamo has been e.g. founder & CEO of gameMiner (game AI), xTask (adaptive learning) and SkillPixels (seroius games). He has had more than 300 presentations, published more than 100 peer-reviewed research articles and developed products (games, MOOCs, adaptive systems, AI) used in more than 120 countries all over the world. Harri Ketamo Ph.D., is an entrepreneur with 20 years of experience in cognitive sciences, computational intelligence, complex adaptive systems and game development. Currently he is founder & chairman of Headai, a company developing General Semantic AI for transparent decision making. He's also actively participating academic research as a senior fellow at University of Turku and at Satakunta University of Applied Sciences. Previously Ketamo has been e.g. founder & CEO of gameMiner (game AI), xTask (adaptive learning) and SkillPixels (seroius games). He has had more than 300 presentations, published more than 100 peer-reviewed research articles and developed products (games, MOOCs, adaptive systems, AI) used in more than 120 countries all over the world. artificial intelligence, ai, technology, engineer, robotics, engineering, software false full 41 3cab9818-c1f6-46b2-8c8c-de6a3acdcdf9 Building Artificial Intelligence systems that can interact with humans w/VP of A.I Christian Guttmann Christian talks about AI and wanting to understand intelligence enough to recreate it.

Christian discusses building systems that can interact with humans beyond regular computer interfaces.

He started working with computers early, too early for advanced AI. He studied broadly, including philosophy, ethics as well as synthetic and biological neural networks.

Christian has found a lot of inspiration in the old papers by Alan Turing and others. He sometimes envies them their opportunity to think big, as they did when they founded the areas of computer science and artificial intelligence.

Christian has be focusing on AI in healthcare and has recently started to communicate the opportunities and challenges in artificial intelligence to the general public. This is something that the host Per Sjöborg is also very passionate about.

We also get to hear about the Nordic AI institute (https://www.nordicaiinstitute.com) and the work it does to inform all parts of society about AI. Anyone interested in AI is welcome to reach out if they have questions or if they have knowledge to share.

Then we hear how Christian is working with Tieto (https://www.tieto.com) on integrating artificial intelligence in their customers daily operations.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.

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If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Fri, 31 Jan 2020 09:43:43 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/building-artificial-intelligence-systems-that-can-interact-with-humans-w-vp-of-ai-christian-guttmann-eiYoSz4X Christian talks about AI and wanting to understand intelligence enough to recreate it.

Christian discusses building systems that can interact with humans beyond regular computer interfaces.

He started working with computers early, too early for advanced AI. He studied broadly, including philosophy, ethics as well as synthetic and biological neural networks.

Christian has found a lot of inspiration in the old papers by Alan Turing and others. He sometimes envies them their opportunity to think big, as they did when they founded the areas of computer science and artificial intelligence.

Christian has be focusing on AI in healthcare and has recently started to communicate the opportunities and challenges in artificial intelligence to the general public. This is something that the host Per Sjöborg is also very passionate about.

We also get to hear about the Nordic AI institute (https://www.nordicaiinstitute.com) and the work it does to inform all parts of society about AI. Anyone interested in AI is welcome to reach out if they have questions or if they have knowledge to share.

Then we hear how Christian is working with Tieto (https://www.tieto.com) on integrating artificial intelligence in their customers daily operations.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.

Learn more at Wevolver.com

 

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Building Artificial Intelligence systems that can interact with humans w/VP of A.I Christian Guttmann Per Sjöborg 00:24:01 Christian Guttmann is Global VP of Artificial Intelligence at Tieto, an IT software and service company providing IT and product engineering services, with approximately 15,000 employees, active in around 20 countries. Christian Guttmann is Global VP of Artificial Intelligence at Tieto, an IT software and service company providing IT and product engineering services, with approximately 15,000 employees, active in around 20 countries. artificial intelligence, innovation, ai, research, robotics, engineering, software false full 40 c6164fe8-922e-417c-b33b-62b68de25515 Real world challenges with Artificial Intelligence w/Associate Professor Federico Pecora Federico talks about AI and how the computer decides what to do and when to do it.

Federico finds many interesting research problems combining AI and robotics. Being out in the real world challenges the AI algorithms and makes real physical tasks possible.

Federico talks about working on AI and service robotics. In this area he has worked on planning, especially focusing on why a particular goal is the one that the robot should work on. To make robots as useful and user friendly as possible, he works on inferring the goal from the robot’s environment so that the user does not have to tell the robot everything.

Federico has also worked with AI robotics planning in industry to optimize results. Managing the relative importance of tasks is another challenging area there. In this context, he works on automating not only a single robot for its goal, but an entire fleet of robots for
their collective goal. We get to hear about how these techniques are being used in warehouse operations, in mines and in agriculture.

Federico discusses how important the co-operation between roboticists and AI specialists is. It can sometimes be challenging, but when it works it yields very interesting questions and results.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Thu, 30 Jan 2020 17:34:08 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/real-world-challenges-with-artificial-intelligence-w-associate-professor-federico-pecora-jkuIe_0b Federico talks about AI and how the computer decides what to do and when to do it.

Federico finds many interesting research problems combining AI and robotics. Being out in the real world challenges the AI algorithms and makes real physical tasks possible.

Federico talks about working on AI and service robotics. In this area he has worked on planning, especially focusing on why a particular goal is the one that the robot should work on. To make robots as useful and user friendly as possible, he works on inferring the goal from the robot’s environment so that the user does not have to tell the robot everything.

Federico has also worked with AI robotics planning in industry to optimize results. Managing the relative importance of tasks is another challenging area there. In this context, he works on automating not only a single robot for its goal, but an entire fleet of robots for
their collective goal. We get to hear about how these techniques are being used in warehouse operations, in mines and in agriculture.

Federico discusses how important the co-operation between roboticists and AI specialists is. It can sometimes be challenging, but when it works it yields very interesting questions and results.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Real world challenges with Artificial Intelligence w/Associate Professor Federico Pecora Per Sjöborg 00:37:17 Federico Pecora is an Associate Professor in Computer Science at the Center for Applied Autonomous Sensor Systems (AASS). He was previously a research assistant at the Italian National Research Council (ISTC-CNR), where he worked on AI tools for space mission planning on a grant from the European Space Agency. Federico Pecora is an Associate Professor in Computer Science at the Center for Applied Autonomous Sensor Systems (AASS). He was previously a research assistant at the Italian National Research Council (ISTC-CNR), where he worked on AI tools for space mission planning on a grant from the European Space Agency. innovation, technology, engineer, tech, robotics, engineering false full 39 0b3245e2-e092-47e0-b8d1-c749734ec882 Future innovations at the Robotics and Mechatronics lab w/ Professor Stefano Stramigioli Stefano talks about how he leads the Robotics and Mechatronics lab at University of Twente. The lab focuses on inspection and maintenance robotics, as well as medical applications.

Stefano got into robotics when he saw the robots in Star Wars, and started out building a robotic arm from scratch, including doing his own PCBs etc.

He also tells us about the robotic peregrine falcon that has been spun out and is now a successful company of their own. Check it out at www.clearflightsolutions.com

Stefano and Per agree that the simple reason for being in robotics is that it’s just so cool!

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Fri, 24 Jan 2020 09:49:30 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/future-innovations-at-the-robotics-and-mechatronics-lab-w-professor-stefano-stramigioli-x5lZX75j Stefano talks about how he leads the Robotics and Mechatronics lab at University of Twente. The lab focuses on inspection and maintenance robotics, as well as medical applications.

Stefano got into robotics when he saw the robots in Star Wars, and started out building a robotic arm from scratch, including doing his own PCBs etc.

He also tells us about the robotic peregrine falcon that has been spun out and is now a successful company of their own. Check it out at www.clearflightsolutions.com

Stefano and Per agree that the simple reason for being in robotics is that it’s just so cool!

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Future innovations at the Robotics and Mechatronics lab w/ Professor Stefano Stramigioli Per Sjöborg 00:32:41 Stefano Stramigioli is Professor of Advanced Robotics at the University of Twente where he leads the Robotics And Mechatronics (RAM) Lab. He is also covering a guest co-chair position at the International Laboratory of BioMechatronics and Energy Efficient Robotics at ITMO. Stefano Stramigioli is Professor of Advanced Robotics at the University of Twente where he leads the Robotics And Mechatronics (RAM) Lab. He is also covering a guest co-chair position at the International Laboratory of BioMechatronics and Energy Efficient Robotics at ITMO. innovation, technology, research, tech, robotics, engineering false full 38 7de8009e-b3d9-450b-8245-50d5e4d273d2 Bringing together academia, industry and end users in robotics w/ Sebastian_Weisenburger Sebastian tells us all about the ECHORD++ project, and describes how ECHORD++ works with application oriented research bringing together academia, industry and end users to bring robotics to market, under the banner “From lab to market”

We also hear about Public end-user Driven Technological Innovation (PDTI). Currently, two projects are run, one in healthcare and one in urban robotics.

Sebastian shares how he adapts the information that comes out of research in a way that makes it suitable for the general public.

We also get and in depth look at the ECHORD++ project with insight into many of the projects in it.

This podcast was recorded in 2016 and is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Wed, 22 Jan 2020 16:14:44 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/bringing-together-academia-industry-and-end-users-in-robotics-w-sebastian-weisenburger-o04ut80h Sebastian tells us all about the ECHORD++ project, and describes how ECHORD++ works with application oriented research bringing together academia, industry and end users to bring robotics to market, under the banner “From lab to market”

We also hear about Public end-user Driven Technological Innovation (PDTI). Currently, two projects are run, one in healthcare and one in urban robotics.

Sebastian shares how he adapts the information that comes out of research in a way that makes it suitable for the general public.

We also get and in depth look at the ECHORD++ project with insight into many of the projects in it.

This podcast was recorded in 2016 and is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Bringing together academia, industry and end users in robotics w/ Sebastian_Weisenburger Per Sjöborg 00:29:12 Sebastian Weisenburger studied at the Ludwig-Maximilians-Universität München and the Università degli studi di Padova (Italy) and holds a Masters degree in Philosophy, Communication Studies and Political Science. Sebastian Weisenburger studied at the Ludwig-Maximilians-Universität München and the Università degli studi di Padova (Italy) and holds a Masters degree in Philosophy, Communication Studies and Political Science. robotics, industrie40 false full 37 95439e53-d17a-42c5-b6a2-c04f0e1f922c Autonomous navigation and it's challenges w/BlueBotics CEO Nicola Tomatis Nicola talks about his long road into robotics and how BlueBotics handles indoor navigation and integrates it in automated guided vehicles (AGV).

Like many, Nicola started out tinkering when he was young, and then got interested in computer science as he wanted to understand it better.

Nicola gives us an overview of indoor navigation and its challenges. He shares a number of interesting projects, including professional cleaning and intralogistics in hospitals. We also find out what someone who wants use indoor navigation and AGV should think about.

This podcast was recorded in 2016 and part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Wed, 15 Jan 2020 18:14:37 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/autonomous-navigation-and-its-challenges-w-bluebotics-ceo-nicola-tomatis-nwHlFGqs Nicola talks about his long road into robotics and how BlueBotics handles indoor navigation and integrates it in automated guided vehicles (AGV).

Like many, Nicola started out tinkering when he was young, and then got interested in computer science as he wanted to understand it better.

Nicola gives us an overview of indoor navigation and its challenges. He shares a number of interesting projects, including professional cleaning and intralogistics in hospitals. We also find out what someone who wants use indoor navigation and AGV should think about.

This podcast was recorded in 2016 and part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Autonomous navigation and it's challenges w/BlueBotics CEO Nicola Tomatis Per Sjöborg 00:36:17 Nicola Tomatis is CEO at BlueBotics, who aim to become world leader in autonomous navigation with the mission to enable the mobility of vehicles for the automation in the professional use market. Nicola Tomatis is CEO at BlueBotics, who aim to become world leader in autonomous navigation with the mission to enable the mobility of vehicles for the automation in the professional use market. innovation, robot, technology, robotics, engineering false full 36 ace3aa53-fe1a-4e71-b4b1-8d9d1bef4dbe Human-robot-collaboration w/Søren Peter Johansen from the Danish Technological Institute Søren Peter Johansen from DTI talks about implementing robotics solutions. He talks about how he got into robotics by starting to tinker with any electronics he could get his hands on. He worked in a mechanical workshop and added automation to the machines in the shop. As robots became more and more available, he then included them in his work.

Søren also discusses examples of successful human robot collaboration and how software and hardware both are essential elements of robot development.

We also get to hear about how he went to the Danish Technological Institute because he saw an opportunity to work with lots of interesting robots.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Fri, 10 Jan 2020 16:12:43 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/human-robot-collaboration-w-sren-peter-johansen-from-the-danish-technological-institute-mx5WZ4Cu Søren Peter Johansen from DTI talks about implementing robotics solutions. He talks about how he got into robotics by starting to tinker with any electronics he could get his hands on. He worked in a mechanical workshop and added automation to the machines in the shop. As robots became more and more available, he then included them in his work.

Søren also discusses examples of successful human robot collaboration and how software and hardware both are essential elements of robot development.

We also get to hear about how he went to the Danish Technological Institute because he saw an opportunity to work with lots of interesting robots.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Human-robot-collaboration w/Søren Peter Johansen from the Danish Technological Institute Per Sjöborg 00:41:48 Søren Peter Johansen is Technology Manager at the Danish Technological Institute (DTI) He has state-of-the-art knowledge on the use of robotics and knowledge about the barriers for implementing robots in the industry. This is based on countless visits to production companies complemented with 20 years hands-on experience in concept-design, development, management and implementations of robotics- and automation-solutions world-wide, which have given him experience with several brands of robots, vision-systems, sensors, plc's, pneumatics, mechanics and pc-program development. Søren Peter Johansen is Technology Manager at the Danish Technological Institute (DTI) He has state-of-the-art knowledge on the use of robotics and knowledge about the barriers for implementing robots in the industry. This is based on countless visits to production companies complemented with 20 years hands-on experience in concept-design, development, management and implementations of robotics- and automation-solutions world-wide, which have given him experience with several brands of robots, vision-systems, sensors, plc's, pneumatics, mechanics and pc-program development. innovation, technology, engineer, research, tech, robotics, dti, engineering false full 35 71c91227-9a89-4e08-a42a-203cb7fdb53d 3D printing metal components w/Hans Kimblad Hans talks about 3D printing metal or MAM, metal adaptive manufacturing.

He describes how the different technologies that are used for MAM work. He then talks through the opportunities and challenges and what one needs to consider when designing for the Höganäs powder sintering MAM process. He also shares some details about the metal powder they use.

This podcast was recorded in 2016 and is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Fri, 10 Jan 2020 02:12:45 +0000 richard@wevolver.com (Richard Hulskes) https://podcast.wevolver.com/episodes/3d-printing-metal-components-w-hans-kimblad-gZRcuH8R Hans talks about 3D printing metal or MAM, metal adaptive manufacturing.

He describes how the different technologies that are used for MAM work. He then talks through the opportunities and challenges and what one needs to consider when designing for the Höganäs powder sintering MAM process. He also shares some details about the metal powder they use.

This podcast was recorded in 2016 and is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> 3D printing metal components w/Hans Kimblad Richard Hulskes 00:34:12 Hans Kimblad is technical director at Digital Metal, Höganäs. They are known for their proprietary precision ink-jet technology for additive manufacturing and 3D printing of metal components and systems. Digital Metal belongs to the global Höganäs Group, which is headquartered in Sweden and best known for its pioneering work in metal powders. Hans Kimblad is technical director at Digital Metal, Höganäs. They are known for their proprietary precision ink-jet technology for additive manufacturing and 3D printing of metal components and systems. Digital Metal belongs to the global Höganäs Group, which is headquartered in Sweden and best known for its pioneering work in metal powders. innovation, technology, 3dprinter, engineer, research, 3dprinting, tech, robotics, additive manufacturing, engineering false full 34 f23cb242-59ef-4a77-a440-e65e08403b1d How this robotics entrepreneur makes programming robots easier w/Sven Schmidt-Rohr Sven talks about how he always wanted to be a robotics entrepreneur and how ArtiMinds makes programming robots easier.

Like so many, Sven got interested in robotics early. He found robots exciting as they could make his programs come to life and work outside the computer. They could do so much more than just display graphics on the computer screen.

Sven also decided to become a robot entrepreneur early and worked on becoming a robotics entrepreneur from high school and through university where he met his co-founders of ArtiMinds.

Sven talks about how ArtiMinds grew out of the work he did at university and how it focuses on making it easier, faster and more intuitive to program complex robot manipulation tasks.

ArtiMinds software platform makes it easier and more intuitive to create your robotics program by dragging and dropping building blocks representing different steps needed to perform a task.
This allows you to automate tasks requiring flexibility and force control for example in industrial assembly and laboratory automation.

We also hear how ArtiMinds software makes it easier to handle assembly of flexible material and inexact parts. For instance, it can help you develop applications involving cabling and wire assembly which is usually considered to be a very difficult task for robots.

This interview was recorded in 2016.
As of 2018/05 ArtiMinds has grown to greater than 70 employees.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Fri, 3 Jan 2020 20:31:07 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/how-this-robotics-entrepreneur-makes-programming-robots-easier-w-sven-schmidt-rohr-pDl9xwwT Sven talks about how he always wanted to be a robotics entrepreneur and how ArtiMinds makes programming robots easier.

Like so many, Sven got interested in robotics early. He found robots exciting as they could make his programs come to life and work outside the computer. They could do so much more than just display graphics on the computer screen.

Sven also decided to become a robot entrepreneur early and worked on becoming a robotics entrepreneur from high school and through university where he met his co-founders of ArtiMinds.

Sven talks about how ArtiMinds grew out of the work he did at university and how it focuses on making it easier, faster and more intuitive to program complex robot manipulation tasks.

ArtiMinds software platform makes it easier and more intuitive to create your robotics program by dragging and dropping building blocks representing different steps needed to perform a task.
This allows you to automate tasks requiring flexibility and force control for example in industrial assembly and laboratory automation.

We also hear how ArtiMinds software makes it easier to handle assembly of flexible material and inexact parts. For instance, it can help you develop applications involving cabling and wire assembly which is usually considered to be a very difficult task for robots.

This interview was recorded in 2016.
As of 2018/05 ArtiMinds has grown to greater than 70 employees.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> How this robotics entrepreneur makes programming robots easier w/Sven Schmidt-Rohr Per Sjöborg 00:37:10 Sven Schmidt-Rohr is the CEO, Co-Founder at ArtiMinds Robotics, an industrial software DeepTech company. Sven Schmidt-Rohr is the CEO, Co-Founder at ArtiMinds Robotics, an industrial software DeepTech company. innovation, robots, technology, research, tech, robotics, engineering false full 33 06e29749-a14f-40d9-b890-72797eb8ec95 How to get benefits from being part of an open source robotics community w/Dirk Thomas Dirk talks about his work with ROS at the OSR Foundation.

We hear about how programmers and roboticists can benefit from being part of and contributing to the open source community.

Dirk discusses the development of ROS and how it is being used both in academia and in commercial projects. He also shares his thoughts on the future development of ROS and how it can support advancements in robotics overall.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
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If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Wed, 1 Jan 2020 15:22:05 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/how-to-get-benefits-from-being-part-of-an-open-source-robotics-community-w-dirk-thomas-JkZRM5ks Dirk talks about his work with ROS at the OSR Foundation.

We hear about how programmers and roboticists can benefit from being part of and contributing to the open source community.

Dirk discusses the development of ROS and how it is being used both in academia and in commercial projects. He also shares his thoughts on the future development of ROS and how it can support advancements in robotics overall.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
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If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> How to get benefits from being part of an open source robotics community w/Dirk Thomas Per Sjöborg 00:35:03 Dirk Thomas is a Software Engineer at the non-profit Open Source Robotics Foundation. He is working on the core of the robotic framework ROS (the Robot Operating System) and is the technical lead for ROS 2. Dirk received his PhD degree in Computer Science in the Simulation, Systems Optimization and Robotics Group at TU Darmstadt, Germany. Dirk Thomas is a Software Engineer at the non-profit Open Source Robotics Foundation. He is working on the core of the robotic framework ROS (the Robot Operating System) and is the technical lead for ROS 2. Dirk received his PhD degree in Computer Science in the Simulation, Systems Optimization and Robotics Group at TU Darmstadt, Germany. innovation, robots, technology, research, tech, robotics, ros false full 32 eb1dc31c-0246-4ae6-87bb-5d0d3af7ae6f Robot snakes to reach impossible places w/Andrew Graham Andrew Graham is Senior Technical Leader at OC Robotics, the world’s leading designer and manufacturer of commercial snake-arm robots and software for confined and hazardous environments

Andrew talks about snake arm robots that can get into impossible locations and do things no other system can.

Andrew tells the story about starting OC Robotics as a way to ground his robotics development efforts in a customer need. He felt that making something useful gave a great direction to his projects.

We also hear about some of the unique properties of snake arm robots:
– They can fit in any space that the tip of the robot can get through
– They can operate in very tight locations as they are flexible all along and therefore do not sweep large areas to move
– They are easy to seal up so that they don’t interact with the environment they operate in
– They are set up in two parts where the part exposed to the environment and to risk is the cheaper part

Andrew then shares some interesting insights from the many projects he has worked on, from fish processing and suit making to bomb disposal and servicing of nuclear power plants.

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This interview was recorded in 2015.

]]> Fri, 27 Dec 2019 14:50:33 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/robot-snakes-to-reach-impossible-places-w-andrew-graham-5kkPiCzo Andrew Graham is Senior Technical Leader at OC Robotics, the world’s leading designer and manufacturer of commercial snake-arm robots and software for confined and hazardous environments

Andrew talks about snake arm robots that can get into impossible locations and do things no other system can.

Andrew tells the story about starting OC Robotics as a way to ground his robotics development efforts in a customer need. He felt that making something useful gave a great direction to his projects.

We also hear about some of the unique properties of snake arm robots:
– They can fit in any space that the tip of the robot can get through
– They can operate in very tight locations as they are flexible all along and therefore do not sweep large areas to move
– They are easy to seal up so that they don’t interact with the environment they operate in
– They are set up in two parts where the part exposed to the environment and to risk is the cheaper part

Andrew then shares some interesting insights from the many projects he has worked on, from fish processing and suit making to bomb disposal and servicing of nuclear power plants.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

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If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

This interview was recorded in 2015.

]]> Robot snakes to reach impossible places w/Andrew Graham Per Sjöborg 00:37:04 robot, technology, engineer, robotics, engineering false full 31 a12cec34-0e9b-4c2d-9f24-08d4eb1d5a3c Merging robotics and fashion w/Anouk Wipprecht Anouk creates instinctual and behavioral wearables; essentially clothes that can sense, process and react.

She creates dresses that move, including motors and special effects. They don´t follow the normal fashion cycle of becoming irrelevant after six months, since they can be updated and improved.

Anouk is unusual as a Fashion Designer as she doesn’t do catwalks; since her designs are made to interact with – not just being viewed.

She is a big supporter of open source and is contributing an open source unicorn horn + cam design for children with ADHD amongst other things that she publishes on Instructables.com or Hackster.io.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

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If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Fri, 27 Dec 2019 14:39:51 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/merging-robotics-and-fashion-w-anouk-wipprecht-FPKHEBTJ Anouk creates instinctual and behavioral wearables; essentially clothes that can sense, process and react.

She creates dresses that move, including motors and special effects. They don´t follow the normal fashion cycle of becoming irrelevant after six months, since they can be updated and improved.

Anouk is unusual as a Fashion Designer as she doesn’t do catwalks; since her designs are made to interact with – not just being viewed.

She is a big supporter of open source and is contributing an open source unicorn horn + cam design for children with ADHD amongst other things that she publishes on Instructables.com or Hackster.io.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Merging robotics and fashion w/Anouk Wipprecht Per Sjöborg 00:45:41 Anouk Wipprecht works in the emerging field of "FashionTech"; a rare combination of fashion design combined with engineering, science and interaction/user experience design. Producing an impressive body of tech-enhanced designs bringing together fashion and technology in an unusual way: she creates technological couture; with systems around the body that tend towards artificial intelligence; projected as 'host' systems on the human body, her designs move, breath, and react to the environment around them. Anouk Wipprecht works in the emerging field of "FashionTech"; a rare combination of fashion design combined with engineering, science and interaction/user experience design. Producing an impressive body of tech-enhanced designs bringing together fashion and technology in an unusual way: she creates technological couture; with systems around the body that tend towards artificial intelligence; projected as 'host' systems on the human body, her designs move, breath, and react to the environment around them. robot, technology, engineer, 3dprinting, tech, robotics, engineering, fashion false full 30 4eaf00cb-cc32-4082-8426-2dfa3cf07089 The next generation of robots w/Paul Ekas The EZGripper by SAKE Robotics is a tendon based gripper using Dyneema tendons and aluminum oxide
eyelets to make it durable and able to handle rough environments.

The EZGripper is under-actuated, the fingers stay straight when picking up small objects and wrap around large objects. You can control position and torque allowing you to grip soft or hard objects and to do so gently or firmly.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

]]> Tue, 10 Dec 2019 21:17:15 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/the-next-generation-of-robots-w-paul-ekas-n7vjMuHE The EZGripper by SAKE Robotics is a tendon based gripper using Dyneema tendons and aluminum oxide
eyelets to make it durable and able to handle rough environments.

The EZGripper is under-actuated, the fingers stay straight when picking up small objects and wrap around large objects. You can control position and torque allowing you to grip soft or hard objects and to do so gently or firmly.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

]]> The next generation of robots w/Paul Ekas Per Sjöborg 00:23:14 Paul Ekas is president of SAKE Robotics, who's vision is to deliver the lowest cost, high dexterity robotic grippers (“hands”) that enable next generation robots. In this podcast, Paul talks about his EZGripper and how he designed it to be low cost, lightweight, robust and to offer reliable gripping of small and large objects. Paul Ekas is president of SAKE Robotics, who's vision is to deliver the lowest cost, high dexterity robotic grippers (“hands”) that enable next generation robots. In this podcast, Paul talks about his EZGripper and how he designed it to be low cost, lightweight, robust and to offer reliable gripping of small and large objects. robot, technology, research, tech, robotics, engineering false full 29 488ebe58-e35d-4cfb-b190-1b8ff2f77b02 How to deal with pattents early on in the innovation process w/Linda Thayer Linda Thayer talks about how to how to apply for, maintain and use patents. She tells us about the benefits of getting in touch with a patent attorney early in the innovation process. She then walks us through the process of applying for a patent, key dates and important steps. We also get to hear about defending your patent and international patents.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

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If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Fri, 6 Dec 2019 22:22:47 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/how-to-deal-with-pattents-early-on-in-the-innovation-process-w-linda-thayer-lbKtI_hm Linda Thayer talks about how to how to apply for, maintain and use patents. She tells us about the benefits of getting in touch with a patent attorney early in the innovation process. She then walks us through the process of applying for a patent, key dates and important steps. We also get to hear about defending your patent and international patents.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> How to deal with pattents early on in the innovation process w/Linda Thayer Per Sjöborg 00:43:46 Linda Thayer is a unicorn among intellectual property attorneys—a blend of experienced litigator and patent portfolio strategist, with deep knowledge in both patent law and multiple complex technologies. Linda excels at guiding high tech clients in developing strong intellectual property portfolios and defending their patent assets before the Patent Trial and Appeal Board (PTAB) and in federal courts. Linda Thayer is a unicorn among intellectual property attorneys—a blend of experienced litigator and patent portfolio strategist, with deep knowledge in both patent law and multiple complex technologies. Linda excels at guiding high tech clients in developing strong intellectual property portfolios and defending their patent assets before the Patent Trial and Appeal Board (PTAB) and in federal courts. robot, technology, research, robotics, engineering false full 28 a0c45cdf-c65d-4eb6-95bf-9cc0f06ac63f How a succesfull educational robotics system emerged from co-operating with Lego w/David Johan Christensen In this podcast, David talks about modular robotics and the Fable system.

David Johan started early in robotics, getting involved already in high school. At university he found the EU project Hydra, that introduced him to modular robotics. In the Hydra project he participated in developing, among other things, the Atron self-reconfiguring modular robotics system.

We also hear how the Fable system emerged from co-operating with Lego and how it’s used all the way from 4th grade to university level brain research.

You can find out more on www.shaperobotics.com

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

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If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Sat, 30 Nov 2019 18:58:04 +0000 richard@wevolver.com (Per Sjoborg) https://podcast.wevolver.com/episodes/how-a-succesfull-educational-robotics-system-emerged-from-co-operating-with-lego-w-david-johan-christensen-Z9noEC4p In this podcast, David talks about modular robotics and the Fable system.

David Johan started early in robotics, getting involved already in high school. At university he found the EU project Hydra, that introduced him to modular robotics. In the Hydra project he participated in developing, among other things, the Atron self-reconfiguring modular robotics system.

We also hear how the Fable system emerged from co-operating with Lego and how it’s used all the way from 4th grade to university level brain research.

You can find out more on www.shaperobotics.com

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> How a succesfull educational robotics system emerged from co-operating with Lego w/David Johan Christensen Per Sjoborg 00:27:00 David Johan Christensen is the CEO & Co Founder at Shape Robotics, creator of the Fable robot- an educational modular robot system for teaching STEM and 21st century skills to students ranging from 3nd grade to university. Davis is a researcher and entrepreneur within the area of robotics. Based on years of research, I co-founded Shape Robotics with the vision to develop the world's best educational robotics system. His research within the area of modular and distributed robotics for playful interaction, self-reconfiguration, adaptive locomotion, education, neurorehabilitation and underwater inspection. On the practical side, he has developed control strategies for self-reconfiguration, locomotion and learning. On the theoretical side, he has explored basic issues regarding scalability and morphology design. His research interests include: modular robots, self-reconfigurable robots, self-assembly, robot locomotion, rapid robot prototyping, distributed control, self-organizing and emergent control, bio-inspired control, evolutionary algorithms, artificial neural networks, reinforcement learning, learning by demonstration, programming by building, stochastic optimization, central pattern generators, behavioral adaptation, morphological adaptation, scalability, complexity, swarm robotics, human-robot interaction, artificial intelligence and artificial life. David Johan Christensen is the CEO & Co Founder at Shape Robotics, creator of the Fable robot- an educational modular robot system for teaching STEM and 21st century skills to students ranging from 3nd grade to university. Davis is a researcher and entrepreneur within the area of robotics. Based on years of research, I co-founded Shape Robotics with the vision to develop the world's best educational robotics system. His research within the area of modular and distributed robotics for playful interaction, self-reconfiguration, adaptive locomotion, education, neurorehabilitation and underwater inspection. On the practical side, he has developed control strategies for self-reconfiguration, locomotion and learning. On the theoretical side, he has explored basic issues regarding scalability and morphology design. His research interests include: modular robots, self-reconfigurable robots, self-assembly, robot locomotion, rapid robot prototyping, distributed control, self-organizing and emergent control, bio-inspired control, evolutionary algorithms, artificial neural networks, reinforcement learning, learning by demonstration, programming by building, stochastic optimization, central pattern generators, behavioral adaptation, morphological adaptation, scalability, complexity, swarm robotics, human-robot interaction, artificial intelligence and artificial life. technology, research, tech, robotics, engineering false full 27 064f3aab-b2a4-49b7-a651-6b08b418b603 What happens when non-engineer users are tasked with teaching robots new things w/Franziska Kirstein Franziska Kirstein talks about her experience as a linguist working with human robot interaction.

We get to hear about what works and what doesn’t when non-engineer users are tasked with teaching robots different movements.

Franziska also describes some of the challenges with kinestetic guidance and alternative methods that can be used.

She then talks about some of the projects she is involved in, including one in robot assisted health care and one involving social robots.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Sat, 30 Nov 2019 18:50:59 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/what-happens-when-non-engineer-users-are-tasked-with-teaching-robots-new-things-w-franziska-kirstein-HBy6cywU Franziska Kirstein talks about her experience as a linguist working with human robot interaction.

We get to hear about what works and what doesn’t when non-engineer users are tasked with teaching robots different movements.

Franziska also describes some of the challenges with kinestetic guidance and alternative methods that can be used.

She then talks about some of the projects she is involved in, including one in robot assisted health care and one involving social robots.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> What happens when non-engineer users are tasked with teaching robots new things w/Franziska Kirstein Per Sjöborg 00:23:01 Franziska Kirstein is a human-robot interaction expert at Blue Ocean Robotics ApS in Odense, Denmark. Her responsibilities are execution of EU-funded projects, in particular projects with relation to Human-Robot Interaction. She's also involved in development projects in user studies, user needs analysis and user testing. Franziska Kirstein is a human-robot interaction expert at Blue Ocean Robotics ApS in Odense, Denmark. Her responsibilities are execution of EU-funded projects, in particular projects with relation to Human-Robot Interaction. She's also involved in development projects in user studies, user needs analysis and user testing. technology, research, tech, robotics, engineering false full 26 cf1cfa38-9bb1-4da0-806f-901d7ccfeab0 What termites can teach us about using autonomous swarms of robots w/Justin Werfel In this podcast, Justin Werfel talks about what termites can teach us about using autonomous swarms of robots.

Termites have an amazing ability to create and maintain large, complicated structures with very limited capabilities.

Justin talks about the opportunity to learn from the termites capability to create impressive structures and use that to create structures with autonomous swarms of robots. We get to hear about how the Termes project aims to learn from termites and build on their capabilities to create any desired structure.

We also hear how Justin was drawn to robotics by the balance between theoretical and practical work.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Fri, 22 Nov 2019 17:25:23 +0000 richard@wevolver.com (Per Sjoborg) https://podcast.wevolver.com/episodes/what-termites-can-teach-us-about-using-autonomous-swarms-of-robots-w-justin-werfel-QmlxdlTY In this podcast, Justin Werfel talks about what termites can teach us about using autonomous swarms of robots.

Termites have an amazing ability to create and maintain large, complicated structures with very limited capabilities.

Justin talks about the opportunity to learn from the termites capability to create impressive structures and use that to create structures with autonomous swarms of robots. We get to hear about how the Termes project aims to learn from termites and build on their capabilities to create any desired structure.

We also hear how Justin was drawn to robotics by the balance between theoretical and practical work.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> What termites can teach us about using autonomous swarms of robots w/Justin Werfel Per Sjoborg 00:31:25 Justin Werfel is a senior research scientist at Harvard’s Wyss Institute for Biologically Inspired Engineering, where he works on topics in complex and emergent systems, including swarm robotics, termite behavior, engineered molecular nanosystems, and evolutionary theory. He lead s the Designing Emergence Laboratory, and works closely with a number of other collaborating labs. Justin Werfel is a senior research scientist at Harvard’s Wyss Institute for Biologically Inspired Engineering, where he works on topics in complex and emergent systems, including swarm robotics, termite behavior, engineered molecular nanosystems, and evolutionary theory. He lead s the Designing Emergence Laboratory, and works closely with a number of other collaborating labs. engineerig, robots, technology, research, tech, robotics false full 25 8b2d7602-d6cd-4955-a4c4-7bbbd3ee0baa Formal verification of computer systems and autonomous golf carts w/Jana Tumova Jana talks about formal verification of computer systems and synthesizing controllers from models.

We get an introduction to the relatively new, especially when applied to robotics, field of formal verification. Jana talks about the requirements and limits of formal verification and how she feels we are ready to start merging the computer science process with regulatory and business processes.

Jana also describes how she worked on an autonomous golf cart in Singapore where the controller was synthesized.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Thu, 21 Nov 2019 16:13:16 +0000 richard@wevolver.com (Per Sjoborg) https://podcast.wevolver.com/episodes/formal-verification-of-computer-systems-and-autonomous-golf-carts-w-jana-tumova-7XR56Vn_ Jana talks about formal verification of computer systems and synthesizing controllers from models.

We get an introduction to the relatively new, especially when applied to robotics, field of formal verification. Jana talks about the requirements and limits of formal verification and how she feels we are ready to start merging the computer science process with regulatory and business processes.

Jana also describes how she worked on an autonomous golf cart in Singapore where the controller was synthesized.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Formal verification of computer systems and autonomous golf carts w/Jana Tumova Per Sjoborg 00:19:59 Jana Tumova is an Assistant Professor at the Department of Robotics, Perception, and Learning (RPL) at the School of Computer Science and Communication at KTH Royal Institute of Technology. Jana Tumova is an Assistant Professor at the Department of Robotics, Perception, and Learning (RPL) at the School of Computer Science and Communication at KTH Royal Institute of Technology. robot, technology, engineer, research, tech, robotics, engineering false full 23 f0c009ba-92e6-409b-9e43-537192c17a9a How do we prepare for co-existing with robots & AI w/Aseem Prakash In this podcast, he talks about a future with robots, rather than the future of robotics.

Aseem talks about how we can prepare for co-existing with robots & AI. What will the future with robots look like & how can we prepare to maximize the benefit.

He also talks about studying how tomorrow unfolds and develop a strategy that will help us adapt to new technologies and how we best integrate them in our lives, private or professional.

Aseem then brings up the risk of not preparing, keeping up to date with what is happening and thinking about how these developments will affect your business or organization.

He ask the question, when we co-exist with 5-10 or even hundreds of robots and smart systems, what will that look like? A very important question that everyone needs to answer for themselves privately as well as in their business, and that we as a society have to answer collectively.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Fri, 15 Nov 2019 16:19:56 +0000 richard@wevolver.com (Per Sjoborg) https://podcast.wevolver.com/episodes/how-do-we-prepare-for-co-existing-with-robots-ai-w-aseem-prakash-_neWlOla In this podcast, he talks about a future with robots, rather than the future of robotics.

Aseem talks about how we can prepare for co-existing with robots & AI. What will the future with robots look like & how can we prepare to maximize the benefit.

He also talks about studying how tomorrow unfolds and develop a strategy that will help us adapt to new technologies and how we best integrate them in our lives, private or professional.

Aseem then brings up the risk of not preparing, keeping up to date with what is happening and thinking about how these developments will affect your business or organization.

He ask the question, when we co-exist with 5-10 or even hundreds of robots and smart systems, what will that look like? A very important question that everyone needs to answer for themselves privately as well as in their business, and that we as a society have to answer collectively.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> How do we prepare for co-existing with robots & AI w/Aseem Prakash Per Sjoborg 00:44:47 Aseem Prakash is a global futurist whose work focuses on AI and the concept of coexisting with robots. Prakash works at the Center for Innovating the Future, and has worked on numerous projects internationally. Aseem Prakash is a global futurist whose work focuses on AI and the concept of coexisting with robots. Prakash works at the Center for Innovating the Future, and has worked on numerous projects internationally. robot, technology, research, robotics, engineering false full 22 184da2a7-0281-4dce-ac05-89a337ba249a IOT and robotics & the next wave of startups w/Erin Bishop Erin Bishop talks about how the FIRST robotics competition was a natural and inspiring way into robotics and onward into her career in robotics.

Erin talks to Per about her work in marketing for several startups. They discuss selling points, including examples from different industries, and marketing for launching a robotics product. Erin also shares her insights on telepresence robots from working with Beam and her game plan for starting a new company based on robotics technology.

In this interview, we get Erin’s perspective on IOT and robotics being the next wave of startups and that venture capital is adapting to the difference between web and app investments on one hand and hardware and IOT/robotics on the other.

Erin thinks that robotics will be introduced in specific verticals and that the service industry will be early adopters. We also find out about how the robot loving customer is her biggest problem.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

]]> Wed, 13 Nov 2019 17:42:16 +0000 richard@wevolver.com (Per Sjoborg) https://podcast.wevolver.com/episodes/iot-and-robotics-the-next-wave-of-startups-w-erin-bishop-0024lN3a Erin Bishop talks about how the FIRST robotics competition was a natural and inspiring way into robotics and onward into her career in robotics.

Erin talks to Per about her work in marketing for several startups. They discuss selling points, including examples from different industries, and marketing for launching a robotics product. Erin also shares her insights on telepresence robots from working with Beam and her game plan for starting a new company based on robotics technology.

In this interview, we get Erin’s perspective on IOT and robotics being the next wave of startups and that venture capital is adapting to the difference between web and app investments on one hand and hardware and IOT/robotics on the other.

Erin thinks that robotics will be introduced in specific verticals and that the service industry will be early adopters. We also find out about how the robot loving customer is her biggest problem.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

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]]> IOT and robotics & the next wave of startups w/Erin Bishop Per Sjoborg 00:40:40 Erin Bishop has worked in companies developing telepresence robots, indoor mobile robots, and robotic picking in warehouses. One of these companies, Industrial Perception, Inc., was acquired by Google in 2013. She oversees the business development, product management, and go-to-market strategy. Erin has a broad understanding of the robot product discovery stack: including machine learning, user experience, human-robot interaction, industrial design, mechanical design, design for manufacturing, and systems. Erin Bishop has worked in companies developing telepresence robots, indoor mobile robots, and robotic picking in warehouses. One of these companies, Industrial Perception, Inc., was acquired by Google in 2013. She oversees the business development, product management, and go-to-market strategy. Erin has a broad understanding of the robot product discovery stack: including machine learning, user experience, human-robot interaction, industrial design, mechanical design, design for manufacturing, and systems. technology, robotics, engineering false full 21 5379fd52-a102-486b-b54d-f0603a47a5af How a trip to Japan started Robotics Trends & RoboBusiness w/Dan Kara This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
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]]> Wed, 6 Nov 2019 13:09:19 +0000 richard@wevolver.com (Per Sjöborg, Dan Kara) https://podcast.wevolver.com/episodes/how-a-trip-to-japan-started-robotics-trends-robobusiness-w-dan-kara-RuQ2Q7Lh This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
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]]> How a trip to Japan started Robotics Trends & RoboBusiness w/Dan Kara Per Sjöborg, Dan Kara 00:41:10 Dan Kara is Vice President at WTWH Media, a media company that serves engineering, business and investment professionals through 40+ web sites, 5 print publications, along with many other technical and business events. The network includes The Robot Report, an online technical, business and investment news and information portal focused on robotics and intelligent systems, as well as the Robotics Summit Conference and Exposition, which addresses the technical issues involved with the design, development, manufacture and delivery of commercial robotics and intelligent systems products and services. Dan talks about how a trip to Japan made him start Robotics Trends & RoboBusiness. He also shares his views on what is going on in robotics. Like many others, Dan found robotics early in science fiction. When he was looking for a new challenge, having left the IT industry, a trip to Robodex in Japan inspired him to start Robotics Trends & RoboBusiness. We hear how the focus has shifted from military applications in the early 2000s to more and more consumer focused progress. Agility in production is also discussed as consumer demand pushes manufacturers to refocus from large scale production of similar items to more customer focused production. Dan Kara is Vice President at WTWH Media, a media company that serves engineering, business and investment professionals through 40+ web sites, 5 print publications, along with many other technical and business events. The network includes The Robot Report, an online technical, business and investment news and information portal focused on robotics and intelligent systems, as well as the Robotics Summit Conference and Exposition, which addresses the technical issues involved with the design, development, manufacture and delivery of commercial robotics and intelligent systems products and services. Dan talks about how a trip to Japan made him start Robotics Trends & RoboBusiness. He also shares his views on what is going on in robotics. Like many others, Dan found robotics early in science fiction. When he was looking for a new challenge, having left the IT industry, a trip to Robodex in Japan inspired him to start Robotics Trends & RoboBusiness. We hear how the focus has shifted from military applications in the early 2000s to more and more consumer focused progress. Agility in production is also discussed as consumer demand pushes manufacturers to refocus from large scale production of similar items to more customer focused production. innovation, robots, technology, engineer, tech, robotics, engineering false full 20 7608c2ff-2a4d-40ba-aeec-bc8ed933ca2b Welcoming robots into our home and businesses, and how to get there. w/ Daniel Lofaro Daniel Lofaro’s PhD project made its public debut on an unlikely stage. His research in end-effector velocity control of non-planted robots (robotic throwing) enabled his HUBO humanoid robot subject to throw out the first pitch of the 2012 Major League Baseball season in front of 45,186 fans.

Daniel is Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University, and the director of the laboratory Lofaro Labs Robotics which is apart of the international laboratory group called the DASL Autonomous Systems Lab Group (DASL Group).

Additionally, he's a affiliate faculty at the U.S. Naval Research Laboratory (NRL) in the Navy Center for Applied Research in Artificial Intelligence (NCARAI) within the Laboratory for Autonomous Systems Research (LASR). As a NSF-EAPSI and ONR-SFRP Fellow, he received his doctorate from the ECE Department at Drexel University in 2013 under the guidance of Dr. Paul Oh. He was the Research Lead of the DARPA Robotics Challenge team DRC-Hubo from 2012 to 2014.

Host: Per Sjöborg, Robots in Depth is supported by Aptomica.

His research focus is in the overarching field of real-world robotics. Within this his research interests include Swarm Robotics, Emergent Behaviors, Robot Design, Real-World Human/Robot Interaction, Humanoid Robotics, Complex Control Systems, Secure Robotics, Cloud Robotics, Unique Musical Instrument Design, and Real-Time Systems. Research interests include Complex Control Systems and Robotics with most recent ventures relating to Robot Design and Cloud Robotics. Daniel's dissertation title is Unified Algorithmic Framework for High Degree of Freedom Complex Systems and Humanoid Robots.

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]]> Wed, 23 Oct 2019 14:24:32 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/welcoming-robots-into-our-home-and-businesses-and-how-to-get-there-w-daniel-lofaro-3tlZa_U1 Daniel Lofaro’s PhD project made its public debut on an unlikely stage. His research in end-effector velocity control of non-planted robots (robotic throwing) enabled his HUBO humanoid robot subject to throw out the first pitch of the 2012 Major League Baseball season in front of 45,186 fans.

Daniel is Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University, and the director of the laboratory Lofaro Labs Robotics which is apart of the international laboratory group called the DASL Autonomous Systems Lab Group (DASL Group).

Additionally, he's a affiliate faculty at the U.S. Naval Research Laboratory (NRL) in the Navy Center for Applied Research in Artificial Intelligence (NCARAI) within the Laboratory for Autonomous Systems Research (LASR). As a NSF-EAPSI and ONR-SFRP Fellow, he received his doctorate from the ECE Department at Drexel University in 2013 under the guidance of Dr. Paul Oh. He was the Research Lead of the DARPA Robotics Challenge team DRC-Hubo from 2012 to 2014.

Host: Per Sjöborg, Robots in Depth is supported by Aptomica.

His research focus is in the overarching field of real-world robotics. Within this his research interests include Swarm Robotics, Emergent Behaviors, Robot Design, Real-World Human/Robot Interaction, Humanoid Robotics, Complex Control Systems, Secure Robotics, Cloud Robotics, Unique Musical Instrument Design, and Real-Time Systems. Research interests include Complex Control Systems and Robotics with most recent ventures relating to Robot Design and Cloud Robotics. Daniel's dissertation title is Unified Algorithmic Framework for High Degree of Freedom Complex Systems and Humanoid Robots.

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]]> Welcoming robots into our home and businesses, and how to get there. w/ Daniel Lofaro Per Sjöborg 00:32:15 Daniel Lofaro talks about how he works hard to make things easier and how co-robotics are the way forward, and how bringing cost down cost and better AI is critical for this. He talks about how robotics needs a “killer app”, something that makes it compelling enough for the customer to take the step of welcoming a robot into the business or home. Daniel also discusses creating an ecosystem of robots and apps, and how competitions can help do this. Daniel Lofaro talks about how he works hard to make things easier and how co-robotics are the way forward, and how bringing cost down cost and better AI is critical for this. He talks about how robotics needs a “killer app”, something that makes it compelling enough for the customer to take the step of welcoming a robot into the business or home. Daniel also discusses creating an ecosystem of robots and apps, and how competitions can help do this. innovation, ai, robots, technology, george mason, engineer, research, co-bots, tech, robotics, engineering, machinelearning, cobots, darpa false full 19 971015d2-1570-4bda-a061-fe32da53de94 How to make robotics systems more agile and easily adaptable w/Craig Schlenoff Craig Schlenoff is the Group Leader of the Cognition and Collaboration Systems Group and the Acting Group Leader of the Sensing and Perception Systems Group in the Intelligent Systems Division at the National Institute of Standards and Technology. He is also the Associate Program Manager of the Robotic Systems for Smart Manufacturing Program and the Agility Performance of Robotic Systems Project Leader.

His research interests include knowledge representation/ontologies, intention recognition, and performance evaluation techniques applied to manufacturing robotic systems. He has led multiple million-dollar projects, dealing with performance evaluation of advanced military technologies and agility performance of manufacturing robotic systems. He has published over 150 journal and conference papers, guest edited three journals, and written two book chapters.

He is currently the chair of the IEEE Ontology for Robotics and Automation Working Group and has previously served as the program manager for the Process Engineering Program at NIST and the Director of Ontologies at VerticalNet. He received his Bachelors degree from the University of Maryland and a Masters degree from Rensselaer Polytechnic Institute, both in mechanical engineering, and a PhD from the University of Burgundy, France in computer science.

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]]> Wed, 16 Oct 2019 19:45:02 +0000 richard@wevolver.com (Richard Hulskes) https://podcast.wevolver.com/episodes/craig-schlenoff-in-robots-in-depth-09-IiCT2uO9 Craig Schlenoff is the Group Leader of the Cognition and Collaboration Systems Group and the Acting Group Leader of the Sensing and Perception Systems Group in the Intelligent Systems Division at the National Institute of Standards and Technology. He is also the Associate Program Manager of the Robotic Systems for Smart Manufacturing Program and the Agility Performance of Robotic Systems Project Leader.

His research interests include knowledge representation/ontologies, intention recognition, and performance evaluation techniques applied to manufacturing robotic systems. He has led multiple million-dollar projects, dealing with performance evaluation of advanced military technologies and agility performance of manufacturing robotic systems. He has published over 150 journal and conference papers, guest edited three journals, and written two book chapters.

He is currently the chair of the IEEE Ontology for Robotics and Automation Working Group and has previously served as the program manager for the Process Engineering Program at NIST and the Director of Ontologies at VerticalNet. He received his Bachelors degree from the University of Maryland and a Masters degree from Rensselaer Polytechnic Institute, both in mechanical engineering, and a PhD from the University of Burgundy, France in computer science.

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]]> How to make robotics systems more agile and easily adaptable w/Craig Schlenoff Richard Hulskes 00:36:01 Craig Schlenoff talks about ontologies and the significance of formalized knowledge for agile robotics systems that can quickly and even automatically adapt to new scenarios. Host: Per Sjöborg, Robots in Depth #9 supported by http://www.aptomica.com. To make robotics systems more agile and easily adaptable to new tasks is very important for robotics to expand beyond large manufacturing settings. Small organizations using robots have new and different needs. They need the robots they use to more easily adapt to their quickly changing needs. Good ontologies and formalized knowledge makes this possible. It might even make it possible to automate the automation. Craig Schlenoff talks about ontologies and the significance of formalized knowledge for agile robotics systems that can quickly and even automatically adapt to new scenarios. Host: Per Sjöborg, Robots in Depth #9 supported by http://www.aptomica.com. To make robotics systems more agile and easily adaptable to new tasks is very important for robotics to expand beyond large manufacturing settings. Small organizations using robots have new and different needs. They need the robots they use to more easily adapt to their quickly changing needs. Good ontologies and formalized knowledge makes this possible. It might even make it possible to automate the automation. nist, technology, research, robotics, engineering false full 18 36280426-a411-4b6a-be7f-7e7a6de97b99 How to create autonomous vehicles from scratch (and existing models) w/Mel Torrie Mel Torie on LinkedIN

ASI website

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]]> Wed, 16 Oct 2019 13:39:04 +0000 richard@wevolver.com (Richard Hulskes) https://podcast.wevolver.com/episodes/how-to-create-autonomous-vehicles-from-scratch-and-existing-models-w-mel-torrie-vLIB6nec Mel Torie on LinkedIN

ASI website

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]]> How to create autonomous vehicles from scratch (and existing models) w/Mel Torrie Richard Hulskes 00:16:25 Mel Torrie, is the founder and CEO of ASI, Autonomous Solutions Inc. He talks about how ASI develops a diversified portfolio of vehicle automation systems across multiple industries. Host: Per Sjöborg, Robots in Depth #7 supported by http://www.Aptomica.com ASI often collaborates with OEM’s, leveraging already existing vehicles and adding their automation expertise. Mel also talks about his goal of growing a great company for the long haul and shares how they survived the 2008 crisis. View the interview to find out how the Google self-driving car has helped ASI gain traction! Mel Torrie, is the founder and CEO of ASI, Autonomous Solutions Inc. He talks about how ASI develops a diversified portfolio of vehicle automation systems across multiple industries. Host: Per Sjöborg, Robots in Depth #7 supported by http://www.Aptomica.com ASI often collaborates with OEM’s, leveraging already existing vehicles and adding their automation expertise. Mel also talks about his goal of growing a great company for the long haul and shares how they survived the 2008 crisis. View the interview to find out how the Google self-driving car has helped ASI gain traction! stem, robot, robots, technology, engineer, research, robotics, engineering false full 17 a76da804-72b8-496e-8ece-d2496b5f1943 What areas are impacted by robotics in the near future? w/Andra Kaey Andra Kaey on Twitter

Silicon Valley Robotics

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]]> Thu, 10 Oct 2019 15:57:32 +0000 richard@wevolver.com (Richard Hulskes) https://podcast.wevolver.com/episodes/what-areas-are-impacted-by-robotics-in-the-near-future-with-andra-kaey-K_P6alby Andra Kaey on Twitter

Silicon Valley Robotics

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]]> What areas are impacted by robotics in the near future? w/Andra Kaey Richard Hulskes 00:28:10 Andra Keay is the Managing Director of Silicon Valley Robotics, non-profit industry group supporting innovation and commercialization of robotics technologies. Andra is also founder of the Robot Launch global startup competition and a mentor, investor and advisor to startups, accelerators and think tanks, with a strong interest in commercializing socially positive robotics and AI. Andra co-founded Robohub, the global robotics research news site, building on her background in film, television and media production, internet and computing technologies, with degrees in Interaction, Communication and Human/Robot Cultural Studies. She also co-founded Robot Garden, a robotics makerspace and teaches Interaction Design and Theory. Andra has a particular interest in understanding diversity and representation in robotics and AI and started the Women in Robotics community. In this podcast, Andra discusses opportunities and challenges for startups in robotics, and what is going on in the robotics community. She talks to our host Per Sjöborg about how her organization Silicon Valley Robotics was formed and what they do. One example of networking events they organize is the annual Robot Block Party. Andra also shares her views on the areas of robotics where we will see significant developments in the near future. Further, Andra and Per discuss how developments in for example agricultural robotics can feed improvements in other industries, including home robots. Andra Keay is the Managing Director of Silicon Valley Robotics, non-profit industry group supporting innovation and commercialization of robotics technologies. Andra is also founder of the Robot Launch global startup competition and a mentor, investor and advisor to startups, accelerators and think tanks, with a strong interest in commercializing socially positive robotics and AI. Andra co-founded Robohub, the global robotics research news site, building on her background in film, television and media production, internet and computing technologies, with degrees in Interaction, Communication and Human/Robot Cultural Studies. She also co-founded Robot Garden, a robotics makerspace and teaches Interaction Design and Theory. Andra has a particular interest in understanding diversity and representation in robotics and AI and started the Women in Robotics community. In this podcast, Andra discusses opportunities and challenges for startups in robotics, and what is going on in the robotics community. She talks to our host Per Sjöborg about how her organization Silicon Valley Robotics was formed and what they do. One example of networking events they organize is the annual Robot Block Party. Andra also shares her views on the areas of robotics where we will see significant developments in the near future. Further, Andra and Per discuss how developments in for example agricultural robotics can feed improvements in other industries, including home robots. false full 16 0c911eb4-8cdf-46c1-9aa4-e32eb06caaa0 The lessons learned from building 1024 robots w/Michael Rubenstein Kilobot project page

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]]> Wed, 9 Oct 2019 14:59:43 +0000 richard@wevolver.com (Richard Hulskes) https://podcast.wevolver.com/episodes/the-lessons-learned-from-building-1024-robots-with-michael-rubenstein-ERZx_Vu2 Kilobot project page

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]]> The lessons learned from building 1024 robots w/Michael Rubenstein Richard Hulskes 00:18:06 Michael Rubenstein describes how he has taken his robotics research from theory into practice by building cheap and small robots, 1024 of them to be exact. Michael is an assistant professor with a joint appointment in the Electrical Engineering and Computer Science and Mechanical Engineering departments at Northwestern University. His research interest is to advance the control and design of multi-robot systems, enabling their use instead of traditional single robots and to solve problems for which traditional robots are not suitable. Using these multi-robot systems can offer more parallelism, adaptability, and fault tolerance when compared to a traditional single robot. He is also interested in investigating how new technologies will allow for more capable multi-robot systems, and how these technologies impact the design of multi-robot algorithms, especially as these systems begin to number in the hundreds, thousands, or even millions of robots. Michael received his PhD from the University of Southern California in Computer Science. After his PhD, he was a postdoctoral researcher in the Self-Organizing Systems Research Group at Harvard University. He completed his undergraduate degree in Electrical Engineering at Purdue University. Michael first talks to our host Per Sjöborg about his PhD research in algorithms for modular self-reconfigurable robots, at the University of Southern California for Dr. Wei-Min Shen. He then shares his work on the Kilobot project and some of the challenges involved with building 1024 robots and how you can learn different things from actually building the robots than from a simulation. This project helped him fine-tune the algorithms from his earlier research. By working on Kilobot, Michael also learned how to make cheap robots, which fits the educational market well. He talks about this and the robots he has created that can be programmed by school children at robotics summer camps. The Kilobot work was done in the Self-Organizing Systems Research Group at Harvard University. Michael is now faculty at Northwestern University Michael Rubenstein describes how he has taken his robotics research from theory into practice by building cheap and small robots, 1024 of them to be exact. Michael is an assistant professor with a joint appointment in the Electrical Engineering and Computer Science and Mechanical Engineering departments at Northwestern University. His research interest is to advance the control and design of multi-robot systems, enabling their use instead of traditional single robots and to solve problems for which traditional robots are not suitable. Using these multi-robot systems can offer more parallelism, adaptability, and fault tolerance when compared to a traditional single robot. He is also interested in investigating how new technologies will allow for more capable multi-robot systems, and how these technologies impact the design of multi-robot algorithms, especially as these systems begin to number in the hundreds, thousands, or even millions of robots. Michael received his PhD from the University of Southern California in Computer Science. After his PhD, he was a postdoctoral researcher in the Self-Organizing Systems Research Group at Harvard University. He completed his undergraduate degree in Electrical Engineering at Purdue University. Michael first talks to our host Per Sjöborg about his PhD research in algorithms for modular self-reconfigurable robots, at the University of Southern California for Dr. Wei-Min Shen. He then shares his work on the Kilobot project and some of the challenges involved with building 1024 robots and how you can learn different things from actually building the robots than from a simulation. This project helped him fine-tune the algorithms from his earlier research. By working on Kilobot, Michael also learned how to make cheap robots, which fits the educational market well. He talks about this and the robots he has created that can be programmed by school children at robotics summer camps. The Kilobot work was done in the Self-Organizing Systems Research Group at Harvard University. Michael is now faculty at Northwestern University stem, technology, engineer, research, tech, robotics, engineering false full 14 9947024e-5390-4389-9530-a935a8219bb7 Investing in consumer focussed robotics w/Valery Komissarova LinkedIn profile.

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]]> Wed, 9 Oct 2019 14:46:16 +0000 richard@wevolver.com (per) https://podcast.wevolver.com/episodes/investing-in-consumer-focussed-robotics-w-valery-komissarova-jb7K__0e LinkedIn profile.

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]]> Investing in consumer focussed robotics w/Valery Komissarova per 00:34:11 Valery Komissarova, Business Development Director at Grishin Robotics, talking about working at an investment company focused on consumer robotics. In this episode of Robots in Depth, Valery describes why the timing for starting Grishin Robotics was just right and shares some of the initial feedback from different parts of the robotics community. She also talks about differences between the companies that get funded and the ones that don’t, what it takes to be a successful entrepreneur in robotics and the areas within consumer robotics where we are likely to see strong development in the next few years. Valery Komissarova, Business Development Director at Grishin Robotics, talking about working at an investment company focused on consumer robotics. In this episode of Robots in Depth, Valery describes why the timing for starting Grishin Robotics was just right and shares some of the initial feedback from different parts of the robotics community. She also talks about differences between the companies that get funded and the ones that don’t, what it takes to be a successful entrepreneur in robotics and the areas within consumer robotics where we are likely to see strong development in the next few years. robot, technology, tech, robotics, investing, engineering false full 13 d458a505-dd50-409e-abb2-09af231f2937 The benefits of open source in robotics and how ROS came to be an open standard w/Tully Foote Open Source Robotics Foundation

Tully Foote

TurtleBot

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]]> Fri, 4 Oct 2019 13:56:05 +0000 richard@wevolver.com (Richard Hulskes) https://podcast.wevolver.com/episodes/the-benefits-of-open-source-in-robotics-and-how-ros-came-to-be-an-open-standard-w-tully-foote-HQ_Ev8nU Open Source Robotics Foundation

Tully Foote

TurtleBot

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]]> The benefits of open source in robotics and how ROS came to be an open standard w/Tully Foote Richard Hulskes 00:22:42 Tully Foote from the Open Source Robotics Foundation explains the benefits of open source in robotics and how ROS came to be an open standard. In this episode of Robots in Depth Per Sjöborg interviews Tully Foote from the Open Source Robotics Foundation. Tully explains the benefits of open source and how it helps make research and development more efficient. Both researchers and start-ups can focus on their added part, rather than starting from scratch. This is an advantage for the whole robotics community, enabling it to move forward much faster. Tully also describes how developers can contribute directly to further developing the ROS standard, for the benefit of the robotics community. Tully Foote is ROS Platform Manager at the Open Source Robotics Foundation. Tully Foote is a computer programmer and ROS Platform Manager at the Open Source Robotics Foundation (ROS) which is widely used in the development of robots. A mechanical engineer by training, Foote is also the co-creator of the TurtleBot — an open source personal robot kit. Tully Foote from the Open Source Robotics Foundation explains the benefits of open source in robotics and how ROS came to be an open standard. In this episode of Robots in Depth Per Sjöborg interviews Tully Foote from the Open Source Robotics Foundation. Tully explains the benefits of open source and how it helps make research and development more efficient. Both researchers and start-ups can focus on their added part, rather than starting from scratch. This is an advantage for the whole robotics community, enabling it to move forward much faster. Tully also describes how developers can contribute directly to further developing the ROS standard, for the benefit of the robotics community. Tully Foote is ROS Platform Manager at the Open Source Robotics Foundation. Tully Foote is a computer programmer and ROS Platform Manager at the Open Source Robotics Foundation (ROS) which is widely used in the development of robots. A mechanical engineer by training, Foote is also the co-creator of the TurtleBot — an open source personal robot kit. false full 12 f2e5f9e2-be64-47ab-b991-f0879ecf9e2b Air, surface and underwater robots with professor of computer science Gregory Dudek Gregory Dudek website

Mobile robotics lab

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]]> Fri, 4 Oct 2019 13:26:13 +0000 richard@wevolver.com (Richard Hulskes) https://podcast.wevolver.com/episodes/air-surface-and-underwater-robots-with-professor-of-computer-science-gregory-dudek-hyLUNJPq Gregory Dudek website

Mobile robotics lab

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]]> Air, surface and underwater robots with professor of computer science Gregory Dudek Richard Hulskes 00:23:52 In this interview of Robots in Depth, the host Per Sjöborg speaks to professor of computer science at McGill University, Gregory Dudek about the field of robotics. They discuss air, surface and underwater vehicles, reviewing challenges as well as how to best use these vehicles, both individually and as a collaborative team of robots. Professor Dudek is Research Director of the McGill Mobile Robotics Lab. His research area's are autonomous navigation, robots that learn, mobile robotics, machine learning, robot localization, information summarization, human-robot interaction, sensor-based robotics, multi-robot systems, computer vision, marine robotics, self-driving vehicles, and recognition. His research deals with sensing for robots and has included theoretical work on the complexity of robot localization and the development of underwater and amphibious robots. He has worked on the use of topological maps and the complexity of topological mapping, an abstract idealized form of robotics problem. He has also looked at robot position estimation using photographic data, and the automated detection of interesting images. With his colleagues he produced the first formal proof of the complexity of global robot localization in a metric environment (i.e. how hard it is, in the worst possible case, for a robot to determine its position if it totally lost). Gregory has a wide range of research interests that all have the common theme of robotics. He works with students in the Mobile Robotics Lab (MRL) at McGill on many problems involving aspects of artificial perception, robot navigation, sample theory (e.g. applications of the secretary problem to robotics and recommender systems. In this interview of Robots in Depth, the host Per Sjöborg speaks to professor of computer science at McGill University, Gregory Dudek about the field of robotics. They discuss air, surface and underwater vehicles, reviewing challenges as well as how to best use these vehicles, both individually and as a collaborative team of robots. Professor Dudek is Research Director of the McGill Mobile Robotics Lab. His research area's are autonomous navigation, robots that learn, mobile robotics, machine learning, robot localization, information summarization, human-robot interaction, sensor-based robotics, multi-robot systems, computer vision, marine robotics, self-driving vehicles, and recognition. His research deals with sensing for robots and has included theoretical work on the complexity of robot localization and the development of underwater and amphibious robots. He has worked on the use of topological maps and the complexity of topological mapping, an abstract idealized form of robotics problem. He has also looked at robot position estimation using photographic data, and the automated detection of interesting images. With his colleagues he produced the first formal proof of the complexity of global robot localization in a metric environment (i.e. how hard it is, in the worst possible case, for a robot to determine its position if it totally lost). Gregory has a wide range of research interests that all have the common theme of robotics. He works with students in the Mobile Robotics Lab (MRL) at McGill on many problems involving aspects of artificial perception, robot navigation, sample theory (e.g. applications of the secretary problem to robotics and recommender systems. robots, technology, amphibious, research, tech, robotics, mcgill university, engineering false full 11 cdf749a5-c3fa-4407-a023-c152275e81e3 The impact of the robot revolution w/roboticist Henrik Christensen Henrik Christensen website.

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]]> Fri, 27 Sep 2019 08:06:40 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/henrik-christensen-in-robots-in-depth-17-DQ8yDx7n Henrik Christensen website.

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]]> The impact of the robot revolution w/roboticist Henrik Christensen Per Sjöborg 00:41:00 Henrik Christensen shares his views on the impact of the robot revolution and stories from his life in European robotics research. Henrik talks about how he got started in computer vision and how working with cameras on mobile platforms got him into robotics. We hear about him being part of early EU supported research projects and how that brought him to KTH in Stockholm and the Centre for Autonomous Systems While at KTH, he worked on early autonomous vacuum cleaners together with Electrolux. This fits well with his desire to both do interesting research and to transform the results into useful applications in the real world. Henrik also tells us how the European robotics network mailing list led to the creation of robotics roadmaps. Henrik and Per discusss that when it comes to talking about the robot revolution with the general public, Hollywood is our worst enemy, because the image they portray is usually completely incorrect. Henrik then shares his views on how the robot revolution will affect the labor market and the environment and also improve the life of the handicapped and elderly. It is a huge opportunity for all, and Per could not agree more. Henrik Christensen shares his views on the impact of the robot revolution and stories from his life in European robotics research. Henrik talks about how he got started in computer vision and how working with cameras on mobile platforms got him into robotics. We hear about him being part of early EU supported research projects and how that brought him to KTH in Stockholm and the Centre for Autonomous Systems While at KTH, he worked on early autonomous vacuum cleaners together with Electrolux. This fits well with his desire to both do interesting research and to transform the results into useful applications in the real world. Henrik also tells us how the European robotics network mailing list led to the creation of robotics roadmaps. Henrik and Per discusss that when it comes to talking about the robot revolution with the general public, Hollywood is our worst enemy, because the image they portray is usually completely incorrect. Henrik then shares his views on how the robot revolution will affect the labor market and the environment and also improve the life of the handicapped and elderly. It is a huge opportunity for all, and Per could not agree more. kth, robot, autonomous vehicles, technology, research, tech, robotics, autonomous, av, engineering false full 10 bd928957-c584-4c56-9b13-0c046daff8eb From checkers playing robots to robotics and machine vision w/roboticist Peter Corke You can find Peters book here.

On his web site you can also find many useful resources, including the MOOC Robot Academy, his Robotics Toolbox and the Machine Vision Toolbox

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]]> Fri, 27 Sep 2019 08:06:27 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/peter-corke-in-robots-in-depth-16-w6Qb13MO You can find Peters book here.

On his web site you can also find many useful resources, including the MOOC Robot Academy, his Robotics Toolbox and the Machine Vision Toolbox

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]]> From checkers playing robots to robotics and machine vision w/roboticist Peter Corke Per Sjöborg 00:37:57 Peter Corke is well known for his work in computer vision and has written one of the books that define the area. We get to hear about his long and interesting journey into giving robots eyes to see the world. In this interview, Peter talks about how serendipity made him build a checkers playing robot and then move on to robotics and machine vision. We get to hear about how early experiments with “Blob Vision” got him interested in analyzing images and especially moving images. The interview ends with Peter adding a new item to the CV, fashion model, when he shows us the ICRA 2018 T-shirt! Peter Corke FAA is an Australian roboticist known for his work on Visual Servoing, field robotics, online education, the online Robot Academy and the Robotics Toolbox and Machine Vision Toolbox for MATLAB (matrix laboratory). He is currently director of the Australian Research Council Centre of Excellence for Robotic Vision, and a Distinguished Professor of Robotic Vision at Queensland University of Technology. His research is concerned with robotic vision, flying robots and robots for agriculture. Corke is a Fellow of the Australian Academy of Technological Sciences and Engineering and of the Institute of Electrical and Electronics Engineers. He is a founding editor of the Journal of Field Robotics, and a former member of the executive editorial board of The International Journal of Robotics Research. Peter Corke is well known for his work in computer vision and has written one of the books that define the area. We get to hear about his long and interesting journey into giving robots eyes to see the world. In this interview, Peter talks about how serendipity made him build a checkers playing robot and then move on to robotics and machine vision. We get to hear about how early experiments with “Blob Vision” got him interested in analyzing images and especially moving images. The interview ends with Peter adding a new item to the CV, fashion model, when he shows us the ICRA 2018 T-shirt! Peter Corke FAA is an Australian roboticist known for his work on Visual Servoing, field robotics, online education, the online Robot Academy and the Robotics Toolbox and Machine Vision Toolbox for MATLAB (matrix laboratory). He is currently director of the Australian Research Council Centre of Excellence for Robotic Vision, and a Distinguished Professor of Robotic Vision at Queensland University of Technology. His research is concerned with robotic vision, flying robots and robots for agriculture. Corke is a Fellow of the Australian Academy of Technological Sciences and Engineering and of the Institute of Electrical and Electronics Engineers. He is a founding editor of the Journal of Field Robotics, and a former member of the executive editorial board of The International Journal of Robotics Research. computer vision, hri, robot, technology, robotics, machine learning, engineering false full 9 0cd1f03f-8001-43c8-940b-55854aad65b6 How looking for an investment opportunity in robotics lead to developing a tracking index for the robotics industry w/Frank Tobe Frank Tobe Linkedin.

The Robot report

RoboGlobal

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]]> Fri, 27 Sep 2019 08:06:15 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/frank-tobe-in-robots-in-depth-23-ZYEsmRNA Frank Tobe Linkedin.

The Robot report

RoboGlobal

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]]> How looking for an investment opportunity in robotics lead to developing a tracking index for the robotics industry w/Frank Tobe Per Sjöborg 00:42:22 Frank Tobe shares his experience from covering robotics in The Robot Report and creating the index Robo-Stox. Frank Tobe is the owner and publisher of The Robot Report. After selling his business and retiring from 25+ years as a provider of computer direct marketing and consulting to the Democratic National Committee, major presidential and other campaigns and initiatives, he has energetically pursued a new career in researching and investing in robotics. In 2013 he co-founded Robo-STOX™ LLC (renamed in 2015 to ROBO-Global) and developed a tracking index for the robotics industry: the ROBO-Global™ Robotics & Automation Index. Frank talks about how and why he shifted to robotics and how looking for an investment opportunity in robotics lead him to start ROBO Global, a robotics focused index company. Both companies have given Frank a unique perspective on the robotics scene as a whole, over a significant period of time, and we are pleased that he wanted to share some of his insights from that with us. Frank Tobe shares his experience from covering robotics in The Robot Report and creating the index Robo-Stox. Frank Tobe is the owner and publisher of The Robot Report. After selling his business and retiring from 25+ years as a provider of computer direct marketing and consulting to the Democratic National Committee, major presidential and other campaigns and initiatives, he has energetically pursued a new career in researching and investing in robotics. In 2013 he co-founded Robo-STOX™ LLC (renamed in 2015 to ROBO-Global) and developed a tracking index for the robotics industry: the ROBO-Global™ Robotics & Automation Index. Frank talks about how and why he shifted to robotics and how looking for an investment opportunity in robotics lead him to start ROBO Global, a robotics focused index company. Both companies have given Frank a unique perspective on the robotics scene as a whole, over a significant period of time, and we are pleased that he wanted to share some of his insights from that with us. entrepeneur, robot, technology, engineer, tech, robotics, engineering false full 8 5220ab4b-75c3-40ed-b78d-7bd17c003b16 The next frontier of research by mixing artificial animals with real ones w/professor Mechanical and Aerospace Engineering Spring Berman Spring M. Berman is an associate professor of Mechanical and Aerospace Engineering and graduate faculty in Computer Science and Exploration Systems Design at Arizona State University (ASU).

She is also a core faculty affiliate of the Global Security Initiative (GSI) at ASU and Associate Director of the Center for Human, Artificial Intelligence, and Robot Teaming (CHART) within GSI. Before joining ASU in 2012, she was a postdoctoral researcher in Computer Science at Harvard University (2010-2012).

She received the M.S.E. and Ph.D. degrees in Mechanical Engineering and Applied Mechanics from the University of Pennsylvania in 2008 and 2010, respectively. She received the B.S.E. degree in Mechanical and Aerospace Engineering and a Certificate in Robotics and Intelligent Systems from Princeton University in 2005.

Her research interests include the modeling, analysis, control, and optimization of robotic swarms; the analysis of collective behaviors in biology; and biologically-inspired control of distributed systems.

Spring Berman on Twitter.

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]]> Fri, 27 Sep 2019 08:06:00 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/spring-berman-in-robots-in-depth-30-Sgkt4lUY Spring M. Berman is an associate professor of Mechanical and Aerospace Engineering and graduate faculty in Computer Science and Exploration Systems Design at Arizona State University (ASU).

She is also a core faculty affiliate of the Global Security Initiative (GSI) at ASU and Associate Director of the Center for Human, Artificial Intelligence, and Robot Teaming (CHART) within GSI. Before joining ASU in 2012, she was a postdoctoral researcher in Computer Science at Harvard University (2010-2012).

She received the M.S.E. and Ph.D. degrees in Mechanical Engineering and Applied Mechanics from the University of Pennsylvania in 2008 and 2010, respectively. She received the B.S.E. degree in Mechanical and Aerospace Engineering and a Certificate in Robotics and Intelligent Systems from Princeton University in 2005.

Her research interests include the modeling, analysis, control, and optimization of robotic swarms; the analysis of collective behaviors in biology; and biologically-inspired control of distributed systems.

Spring Berman on Twitter.

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]]> The next frontier of research by mixing artificial animals with real ones w/professor Mechanical and Aerospace Engineering Spring Berman Per Sjöborg 00:21:27 Spring Berman is an associate professor in at Arizona State University. In this podcast she talks about her extensive experience from research in the field of swarm robotics. One of the underlying ideas of the area is designing robot controls similar to the ones used in nature by different types of swarms of animals, systems that work without having a leader. We get to hear how many robots can be used together to handle tasks that would not be possible using one or a small number of robots. We also get introduced to the opportunities of mixing artificial animals with real ones. Spring describes some of the challenges within swarm robotics, which can be as diverse as mathematical modelling and regulatory issues. She also comments on the next frontier of research and the different research areas that are relevant to advance this area. This interview was recorded in 2016. Spring Berman is an associate professor in at Arizona State University. In this podcast she talks about her extensive experience from research in the field of swarm robotics. One of the underlying ideas of the area is designing robot controls similar to the ones used in nature by different types of swarms of animals, systems that work without having a leader. We get to hear how many robots can be used together to handle tasks that would not be possible using one or a small number of robots. We also get introduced to the opportunities of mixing artificial animals with real ones. Spring describes some of the challenges within swarm robotics, which can be as diverse as mathematical modelling and regulatory issues. She also comments on the next frontier of research and the different research areas that are relevant to advance this area. This interview was recorded in 2016. ai, robot, technology, tech, robotics, swarm robotics, engineering, asu false full 7 6c2d2f70-bf69-4ea0-a27b-b3121df55300 Rescue robotics with Head of the Collaborative Robotics Lab Richard Voyles Prof. Voyles is head of the Collaborative Robotics Lab at Purdue University and Director of the Robotics Accelerator, Prof. Voyles knows robots! With expertise in electrical engineering, mechanical engineering and computer science, Dr. Voyles' research interest include novel robotic mechanisms, sensors, self-adaptive software, real-time control, and gesture-based human/robot interaction. His professional experience includes IBM, Avanti Optics, Integrated Systems and Dart Controls, tenured academic positions at the University of Minnesota, University of Denver, and Purdue University, positions with the federal government including leading the National Robotics Initiative at the National Science Foundation and Assistant Director for Robotics and Cyber-Physical Systems at the Office of Science and Technology Policy at the White House, and Board of Director positions on The Works, Easton Family Foundation, Minnesota Virtual Simulations and Mark V Automation.

His formal training includes the PhD in Robotics from Carnegie Mellon University, MS in Manufacturing Systems Engineering from Stanford University, and BS in Electrical Engineering from Purdue. At Purdue, Prof Voyles studies infrastructure tools for self-adaptation in real-time and embedded systems. He also directs research in miniature robotics for search and rescue, including small crawling ground robots for penetration into rubble, hybrid serpentine robots for moving over rubble, and high-precision UAVs for inspecting rubble and structures from the air.

Professional profile.

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]]> Fri, 27 Sep 2019 08:05:47 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/richard-voyles-in-robots-in-depth-37-5XHE6IzX Prof. Voyles is head of the Collaborative Robotics Lab at Purdue University and Director of the Robotics Accelerator, Prof. Voyles knows robots! With expertise in electrical engineering, mechanical engineering and computer science, Dr. Voyles' research interest include novel robotic mechanisms, sensors, self-adaptive software, real-time control, and gesture-based human/robot interaction. His professional experience includes IBM, Avanti Optics, Integrated Systems and Dart Controls, tenured academic positions at the University of Minnesota, University of Denver, and Purdue University, positions with the federal government including leading the National Robotics Initiative at the National Science Foundation and Assistant Director for Robotics and Cyber-Physical Systems at the Office of Science and Technology Policy at the White House, and Board of Director positions on The Works, Easton Family Foundation, Minnesota Virtual Simulations and Mark V Automation.

His formal training includes the PhD in Robotics from Carnegie Mellon University, MS in Manufacturing Systems Engineering from Stanford University, and BS in Electrical Engineering from Purdue. At Purdue, Prof Voyles studies infrastructure tools for self-adaptation in real-time and embedded systems. He also directs research in miniature robotics for search and rescue, including small crawling ground robots for penetration into rubble, hybrid serpentine robots for moving over rubble, and high-precision UAVs for inspecting rubble and structures from the air.

Professional profile.

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]]> Rescue robotics with Head of the Collaborative Robotics Lab Richard Voyles Per Sjöborg 01:09:05 Head of the Collaborative Robotics Lab at Purdue University Richard Voyles talks about rescue robotics and advising politicians about robotics. Richard shares how he reacted to the Three Mile Island accident by doing robotics research focused on rescue robotics. He also talks about how robotics has been able to help out in the later nuclear accidents at Chernobyl and Fukoshima. We hear about how long different types of equipment last in such extreme environments and the spectrum of work that is being done in the area. We also learn how things we take for granted are not always true in a rescue situation and that creates a challenge for the sensors used in that environment. Richard and Per then discuss the role of robotics in the community and the importance of considering it in the political landscape. This interview was recorded in 2015. Head of the Collaborative Robotics Lab at Purdue University Richard Voyles talks about rescue robotics and advising politicians about robotics. Richard shares how he reacted to the Three Mile Island accident by doing robotics research focused on rescue robotics. He also talks about how robotics has been able to help out in the later nuclear accidents at Chernobyl and Fukoshima. We hear about how long different types of equipment last in such extreme environments and the spectrum of work that is being done in the area. We also learn how things we take for granted are not always true in a rescue situation and that creates a challenge for the sensors used in that environment. Richard and Per then discuss the role of robotics in the community and the importance of considering it in the political landscape. This interview was recorded in 2015. robot, technology, engineer, purdue, research, tech, robotics, engineering, university false full 6 17dbd52d-868b-4bad-b477-eb02e472a79c Learning lessons from working with modular robots w/ Dave Rollinson You can find out more about Hebi and their products on www.hebirobotics.com

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]]> Fri, 27 Sep 2019 08:05:24 +0000 richard@wevolver.com (Per Sjöborg) https://podcast.wevolver.com/episodes/dave-rollinson-in-robots-in-depth-15-X1KE_nv3 You can find out more about Hebi and their products on www.hebirobotics.com

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]]> Learning lessons from working with modular robots w/ Dave Rollinson Per Sjöborg 00:21:35 Dave Rollinson from Hebi Robotics talks about learning from watching his robots being used as everyday tools. We also get an initiated overview of the modular robotics systems that Hebi develops. Dave shares how he had the opportunity to work with sewer inspection robots early on. He learned a lot from constantly bringing the robots out in the field. Seeing how the robots were used, as regular tools, and how they succeeded and failed helped him iterate the design and take the steps needed to create a well-functioning product. Dave also talks about how he wanted to continue to build robots as he continued his education. He chose to go to CMU and professor Howie Choset’s lab because they build their own hardware. We get the opportunity to see one of the modular robotics system Hebi is working on live and a few examples of how it is being used. At the end of the interview, Dave and the host Per, who is a major modular robotics fan, discuss the significance of modularity in robotics and how it can change how we develop and use robots and machines. Dave Rollinson from Hebi Robotics talks about learning from watching his robots being used as everyday tools. We also get an initiated overview of the modular robotics systems that Hebi develops. Dave shares how he had the opportunity to work with sewer inspection robots early on. He learned a lot from constantly bringing the robots out in the field. Seeing how the robots were used, as regular tools, and how they succeeded and failed helped him iterate the design and take the steps needed to create a well-functioning product. Dave also talks about how he wanted to continue to build robots as he continued his education. He chose to go to CMU and professor Howie Choset’s lab because they build their own hardware. We get the opportunity to see one of the modular robotics system Hebi is working on live and a few examples of how it is being used. At the end of the interview, Dave and the host Per, who is a major modular robotics fan, discuss the significance of modularity in robotics and how it can change how we develop and use robots and machines. stem, robots, technology, robotics, engineering false full 5 1b44879f-d3e7-4ea7-9641-fc3c3b97857f Making research quality modular robots accessible to everyone w/founder Daniel Pizzata More information on https://www.modbot.com

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]]> Fri, 27 Sep 2019 08:05:08 +0000 richard@wevolver.com (per) https://podcast.wevolver.com/episodes/daniel-pizzata-in-robots-in-depth-13-T0_zenxJ More information on https://www.modbot.com

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]]> Making research quality modular robots accessible to everyone w/founder Daniel Pizzata per 00:49:55 Daniel Pizzata talks about how his passion for modular robotics has driven him to start Modbot, a company building a robotics platform and creating a community. The goal of Modbot is to bring robots out of the research labs and make them accessible to everyone. Daniel started out in the defense sector in Australia using robotics to measure radio transmissions. He worked on many different projects, but felt that he wanted to work with technology that was more widely applicable in society, and follow his ambitions. Daniel also talks about how he met his co-founder Adam Ellison and how they had the idea of a platform and a community that could widen the range of people that are able to develop robotics and automation solutions. This turned out to be a life-changing journey with many intense moments and amazing experiences. Daniel then shares how living on floor 7½ in the mezzanine corridor was one of the interesting aspects of moving to San Fransisco to pursue his dream of starting Modbot. Daniel Pizzata talks about how his passion for modular robotics has driven him to start Modbot, a company building a robotics platform and creating a community. The goal of Modbot is to bring robots out of the research labs and make them accessible to everyone. Daniel started out in the defense sector in Australia using robotics to measure radio transmissions. He worked on many different projects, but felt that he wanted to work with technology that was more widely applicable in society, and follow his ambitions. Daniel also talks about how he met his co-founder Adam Ellison and how they had the idea of a platform and a community that could widen the range of people that are able to develop robotics and automation solutions. This turned out to be a life-changing journey with many intense moments and amazing experiences. Daniel then shares how living on floor 7½ in the mezzanine corridor was one of the interesting aspects of moving to San Fransisco to pursue his dream of starting Modbot. robot, technology, modbot, engineer, modular robotics, tech, robotics, engineering false full 4 1810d8ce-9354-4313-9206-0e8e6ccec8c0 How a lifelong robot builder went to running a $94 million VC backed robotics company w/Melonee Wise Fetch robotics website.

Melonee Wise Linkedin.

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]]> Fri, 27 Sep 2019 08:03:46 +0000 richard@wevolver.com (per) https://podcast.wevolver.com/episodes/how-a-lifelong-robot-builder-went-to-running-a-94-million-vc-backed-robotics-company-w-melonee-wise-PENSu46R Fetch robotics website.

Melonee Wise Linkedin.

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]]> How a lifelong robot builder went to running a $94 million VC backed robotics company w/Melonee Wise per 00:38:40 In this interview of the Robots in Depth series our host Per Sjöborg talks to Melonee Wise, CEO of Fetch Robotics, and lifelong robot builder and developer. Melonee shares how she first got into building things at a young age and how that led to studying mechanical engineering and leaving her PhD project behind to become the second employee of Willow Garage. She shares some personal anecdotes from the first few years at Willow Garage, including both successes like the PR2 and some less successful moments. Melonee also gives her perspective on the development phase robotics is in now and what the remaining challenges are. Related to that, she discusses what is feasible to deliver in the next five years vs. what her dream robot would be. In this interview of the Robots in Depth series our host Per Sjöborg talks to Melonee Wise, CEO of Fetch Robotics, and lifelong robot builder and developer. Melonee shares how she first got into building things at a young age and how that led to studying mechanical engineering and leaving her PhD project behind to become the second employee of Willow Garage. She shares some personal anecdotes from the first few years at Willow Garage, including both successes like the PR2 and some less successful moments. Melonee also gives her perspective on the development phase robotics is in now and what the remaining challenges are. Related to that, she discusses what is feasible to deliver in the next five years vs. what her dream robot would be. fetch robotics, robot, technology, industrial robot, engineer, robotics, engineering, industry40, industrie40 false full 3 7c93f0c7-72d5-478d-8fb3-8231cdf5d5a0 Safer human robot collaboration with a unique safety sensor w/Walter Wohlkinger Blue Danube website.

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]]> Fri, 27 Sep 2019 08:01:57 +0000 richard@wevolver.com (per) https://podcast.wevolver.com/episodes/walter-wohlkinger-in-robots-in-depth-27-kGfTnsb8 Blue Danube website.

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]]> Safer human robot collaboration with a unique safety sensor w/Walter Wohlkinger per 00:13:56 Walter Wohlkinger from Blue Danube Robotics talks about their Airskin, a safety sensor covering robots and machines. Safety is critical in robotics and especially so in co-robotics where people work closely with robots. Walter tells us how his product, the Airskin, offers a way to add security to systems by adding a sensor to the robot. We get to hear how the Airskin can be used to control robots by sensing the pressure on different parts of the robot. This is interesting in a co-robot context as it allows for intuitive control of robots. Walter also talks about how the Airskin works by detecting air pressure differences inside the pad and handles puncture detection with a micro pump. Walter then shares the evolution of trying different production methods before settling on 3D-printing. This interview was recorded in 2016. The Airskin pads are now mass-manufactured and available as kits for a number of popular robots. Blue Danube Robotics are also working on a software that will make it possible for customers to design Airskin pads themselves. Walter Wohlkinger from Blue Danube Robotics talks about their Airskin, a safety sensor covering robots and machines. Safety is critical in robotics and especially so in co-robotics where people work closely with robots. Walter tells us how his product, the Airskin, offers a way to add security to systems by adding a sensor to the robot. We get to hear how the Airskin can be used to control robots by sensing the pressure on different parts of the robot. This is interesting in a co-robot context as it allows for intuitive control of robots. Walter also talks about how the Airskin works by detecting air pressure differences inside the pad and handles puncture detection with a micro pump. Walter then shares the evolution of trying different production methods before settling on 3D-printing. This interview was recorded in 2016. The Airskin pads are now mass-manufactured and available as kits for a number of popular robots. Blue Danube Robotics are also working on a software that will make it possible for customers to design Airskin pads themselves. robot, technology, industrial robot, tech, robotics, industry40, industrie40 false full 2 8b7dbe92-decc-470c-8e0d-7bf2e173938e Innovating in modular robotics w/co-founder Andreas Bihlmaier More about Robodev.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

]]> Fri, 27 Sep 2019 08:01:35 +0000 richard@wevolver.com (per) https://podcast.wevolver.com/episodes/innovating-in-modular-robotics-w-co-founder-andreas-bihlmaier-nDdmQHIC More about Robodev.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

]]> Innovating in modular robotics w/co-founder Andreas Bihlmaier per 01:00:15 Andreas Bihlmaier talks about modular robotics and starting a robotics company. Andreas shares how he started out in computers and later felt that robotics, through its combination of software and hardware that interacts with the world, was what he found most interesting. Andreas is one of the founders of RoboDev, a company that aims to make automation more available using modular robotics. He explains how modular systems are especially well suited for automating low volume series and how they work with customers to simplify automation. He also discusses how a system that can easily be assembled into many different robots creates an advantage both in education and in industrial automation, by providing efficiency, flexibility and speed. Reducing the threshold to automation will allow a new type of exploration of robotics and automation in STEM/STEAM education and in prototyping for industrial robotics. We get a personal, behind the scenes account of how the company has evolved as well as insights into the reasoning behind strategic choices made in product development. Andreas Bihlmaier talks about modular robotics and starting a robotics company. Andreas shares how he started out in computers and later felt that robotics, through its combination of software and hardware that interacts with the world, was what he found most interesting. Andreas is one of the founders of RoboDev, a company that aims to make automation more available using modular robotics. He explains how modular systems are especially well suited for automating low volume series and how they work with customers to simplify automation. He also discusses how a system that can easily be assembled into many different robots creates an advantage both in education and in industrial automation, by providing efficiency, flexibility and speed. Reducing the threshold to automation will allow a new type of exploration of robotics and automation in STEM/STEAM education and in prototyping for industrial robotics. We get a personal, behind the scenes account of how the company has evolved as well as insights into the reasoning behind strategic choices made in product development. robot, technology, industrial robot, tech, robotics, engineering false full 1