In this episode, Lauren Klein interviews Professor Milind Tambe of Computer Science and Industrial and Systems Engineering at the University of Southern California about his research using artificial intelligence for wildlife conservation. Dr. Tambe describes his team’s use of security games to combat poaching, and his experience deploying his algorithms to inform park ranger schedules internationally.
In this episode, Lilly Clark interviews Aleksandr Kapitonov, “robot economics” academic society professor at Airalab, on his work for Robonomics Platform, an Ethereum network infrastructure for integrating robots and cyber-physical systems directly into the economy. Kapitonov discusses the advantages of using blockchain, use cases including a fully autonomous vending machine, and the Robonomics technology stack.
In this episode, Audrow Nash interviews Bernt Børnich, CEO, CTO, and Co-founder of Halodi Robotics, about Eve (EVEr3), a general purpose full-size humanoid robot, capable of a wide variety of tasks. Børnich discusses how Eve can be used in research, how Eve’s motors have been designed to be safe around humans (including why they use a low gear ratio), how they do direct force control and the benefits of this approach, and how they use machine learning to reduce cogging in their motors. Børnich also discusses the longterm goal of Halodi Robotics and how they plan to support researchers using Eve.
In this episode, Lauren Klein interviews Hae Won Park, a Research Scientist in the Personal Robots Group at the MIT Media Lab, about storytelling robots for children. Dr. Park elaborates on enabling robots to understand how children are learning, and how they can help children with literacy skills and encourage exploration.
In this episode, Audrow Nash interviews Dylan Glas, Senior Robotics Software Architect at Futurewei Technologies and former chief architect for the ERICA android in the ERATO Ishiguro Symbiotic Human-Robot Interaction Project, about his work on ERICA, a realistic android robot. Glas discusses how ERICA was designed, the uncanny valley, the software architecture of ERICA, and some of the research studies that ERICA has been involved in.
In this episode, Audrow Nash speaks with Ian Bernstein, Founder and Head of Product at Misty Robotics, about a robotics platform designed for developers called Misty II. Bernstein discusses the motivation behind making a robotics platform for developers (relating it to personal computers), Misty II’s hardware extensibility and software “skills,” and the future direction of Misty Robotics.
In this episode, Audrow Nash interviews Dor Skuler, CEO and co-founder of Intuition Robotics, about a socially assistive robot for older adults named ElliQ. Skuler discusses the motivation for ElliQ, how it infers context and changes its behavior accordingly, and how ElliQ adapts its behavior over time.
In this episode Abate interviews Yariv Bash from Flytrex. Yariv discusses how Flytrex works in cooperation with local businesses in a city to use drones to rapidly transport goods in a local region. A practical application is the delivery of food from local restaurants. Yariv discusses Flytrex’s plans for using their USD$7.5 million series B round of funding.
In this episode, Audrow Nash interviews Amy Loutfi, a professor at Örebro University, about how semantic representations can be used to help robots reason about the world. Loutfi discusses semantics in general, as well as how semantics have been used for a simulated quad rotor to do path planning within constraints.
In this interview, Audrow Nash interviews Jaime Fernández Fisac, a PhD student at University of California, Berkeley, working with Professors Shankar Sastry, Claire Tomlin, and Anca Dragan. Fisac is interested in ensuring that autonomous systems such as self-driving cars, delivery drones, and home robots can operate and learn in the world—while satisfying safety constraints. Towards this goal, Fisac discusses different examples of his work with unmanned aerial vehicles and talks about safe robot learning in general; including, the curse of dimensionality and how it impacts control problems (including how some systems can be decomposed into simpler control problems), how simulation can be leveraged before trying learning on a physical robot, safe sets, and how a robot can modify its behavior based on how confident it is that its model is correct.
Presented work at IROS 2018 (Part 3 of 3), with Pauline Pounds, Philippe Morere and Yujung Liu
Robohub Podcast is a non-profit robotics podcast where we interview experts in robotics, including researchers, entrepreneurs, policy makers, and venture capitalists. Our interviewers are researchers, entrepreneurs, and engineers involved in robotics. Our interviews are technical and, often, get into the details of what we are discussing, but we make an effort to have our interviews understandable to a general audience.
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