Wevolver Robots in Depth

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 withprogrammable 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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com 

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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 

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

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

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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

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 fortheir 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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comStefano 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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.Learn more at Wevolver.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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 environmentsAndrew 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 partAndrew 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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.comThis interview was recorded in 2015.

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

The EZGripper by SAKE Robotics is a tendon based gripper using Dyneema tendons and aluminum oxideeyelets 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

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comThis podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.Learn more at Wevolver.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.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

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.Promote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

Mel Torie on LinkedINASI websitePromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

Andra Kaey on TwitterSilicon Valley RoboticsThis podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.Learn more at Wevolver.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

Kilobot project pageThis podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.Learn more at Wevolver.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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Open Source Robotics FoundationTully FooteTurtleBotThis podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.Learn more at Wevolver.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

Gregory Dudek websiteMobile robotics labThis podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.Learn more at Wevolver.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

Henrik Christensen website.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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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 ToolboxThis podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.Learn more at Wevolver.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

Frank Tobe Linkedin.The Robot reportRoboGlobalThis podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.Learn more at Wevolver.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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.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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

You can find out more about Hebi and their products on www.hebirobotics.comThis podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.Learn more at Wevolver.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

More information on https://www.modbot.comThis podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.Learn more at Wevolver.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

Fetch robotics website.Melonee Wise Linkedin.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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

Blue Danube website.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.comPromote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at richard@wevolver.com

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