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Group: US, Russia block consensus at ‘killer robots’ meeting

A key opponent of high-tech, automated weapons known as "killer robots" is blaming countries like the U.S. and Russia for blocking consensus at a U.N.-backed conference, where most countries wanted to ensure that humans stay at the controls of lethal machines.

#268: Robotarium: A Robotics Lab Accessible to All, with Magnus Egerstedt

In this episode, Audrow Nash interview Magnus Egerstedt, Professor at the Georgia Institute of Technology, about a way for anyone interested in swarm robotics to test their ideas on hardware, called the Robotarium.  The Robotarium is a 725-square-foot lab at the the Georgia Institute of Technology that houses nearly 100 rolling and flying robots.  To test their ideas, people can write their own programs, upload them to the Robotarium, and then watch the machines carry out their commands.

In this interview, Egerstedt speaks about the kinds of robots used in the Robotarium, design decisions in making the Robotarium, the differences between doing research in simulation and on hardware, and about lessons learnt and the challenges of building the Robotarium.

Magnus Egerstedt

Dr. Magnus Egerstedt is the Steve W. Chaddick School Chair and Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He holds secondary appointments in the Woodruff School of Mechanical Engineering, the School of Interactive Computing, and the Guggenheim School of Aerospace Engineering, and has previously served as the Executive Director for the Institute for Robotics and Intelligent Machines at Georgia Tech. He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt conducts research in the areas of control theory and robotics, with particular focus on control and coordination of complex networks, such as multi-robot systems, mobile sensor networks, and cyber-physical systems. Magnus Egerstedt is a Fellow of the IEEE and has received a number of teaching and research awards, including the Ragazzini Award from the American Automatic Control Council, the Outstanding Doctoral Advisor Award and the HKN Outstanding Teacher Award from Georgia Tech, the Alumni of the Year Award from the Royal Institute of Technology, and the CAREER Award from the U.S. National Science Foundation.

 

Links

Rodney Brooks on the future of robotics and AI

If you follow the robotics community on the twittersphere, you’ll have noticed that Rodney Brooks is publishing a series of essays on the future of robotics and AI which has been gathering wide attention.

His articles are designed to be read as stand alone essays, and in any order. Robohub will be featuring links to the articles as they come out. They are worth the read.

Steps Toward Super Intelligence IV, Things to Work on Now published on July 15, 2018.

Steps Toward Super Intelligence III, Hard Things Today published on July 15, 2018.

Steps Toward Super Intelligence II, Beyond the Turing Test published on July 15, 2018.

Steps Toward Super Intelligence I, How We Got Here published on July 15, 2018.

Bothersome Bystanders and Self Driving Cars published July 4, 2018

The Origins of “Artificial Intelligence” published April 27, 2018

Time Traveling Refugees published March 17, 2018

The Productivity Gain: Where Is It Coming From And Where Is It Going To? published February 25, 2018

My Dated Predictions published January 1, 2018

AI/ML Is Not Uniquely Powerful Enough To Need Controlling published on December 23, 2017

What If There Were Men On The Moon Today? published December 18, 2017

The Seven Deadly Sins of Predicting the Future of AI published on September 7, 2017.

Domo Arigato Mr. Roboto published on August 28, 2017.

Machine Learning Explained published on August 28, 2017.

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