Magnus Egerstedt

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Swarm robotics -- from local rules to global behaviors | Magnus Egerstedt | TEDxEmory

Published on Jul 24, 2014

This talk was given at a local TEDx event, produced independently of the TED Conferences.
How should large-scale robotic teams be designed so that they can solve complex tasks that the robots cannot solve by themselves? By drawing inspiration from natural systems, such as swarming insects or flocking birds, simple robot-to-robot rules are found that make the robots move together in useful and interesting ways.

Magnus Egerstedt is the Schlumberger Professor and Associate Chair of Research in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, where he works on robotics in general, and swarm robotics in particular. Before coming to Georgia Tech, he was a postdoctoral scholar at Harvard University and a graduate student at the Royal Institute of Technology, in his native hometown of Stockholm, Sweden. He is the director of the Georgia Robotics and Intelligent Systems Laboratory (GRITS Lab), a Fellow of the IEEE, and a recipient of the ECE/GT Outstanding Junior Faculty Member Award, the HKN Outstanding Teacher Award, the Alum of the Year Award from the Royal Institute of Technology, and the U.S. National Science Foundation CAREER Award.

 

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The Robots are coming

Published on Apr 10, 2017

Magnus Egerstedt is the director of Georgia Tech's Institute for Robotics and Intelligent Machines (IRIM). In this interview he outlines IRIM's strengths, the global future of robotics, and his new project: the robotarium.

IRIM serves as an umbrella under which robotics researchers, educators, and students from across campus come together to advance the many high-powered and diverse robotics activities at Georgia Tech.

 

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RI Seminar: Magnus Egerstedt : long duration autonomy for persistent environmental monitoring

Published on Feb 9, 2018

Magnus Egerstedt
Professor and Executive Director
Institute for Robotics and Intelligent Machines , Georgia Institute of Technology
Friday, February 9, 2018

Long Duration Autonomy With Applications to Persistent Environmental Monitoring

Abstract: By now, we have a fairly good understanding of how to design coordinated control strategies for making teams of mobile robots achieve geometric objectives in a distributed manner, such as assembling shapes or covering areas. But, the mapping from high-level tasks to geometric objectives is not well understood. In this talk, we investigate this topic in the context of persistent autonomy, i.e., we consider teams of robots, deployed in an environment over a sustained period of time, that can be recruited to perform a number of different tasks in a distributed, safe, and provably correct manner. This development will involve the composition of multiple barrier certificates for encoding the tasks and safety constraints, as well as a detour into ecology as a way of understanding how persistent environmental monitoring can be achieved by studying animals with low-energy life-styles, such as the three-toed sloth.

Bio: Magnus Egerstedt is the Executive Director for the Institute for Robotics and Intelligent Machines at the Georgia Institute of Technology. He is a Professor and the Julian T. Hightower Chair in Systems and Controls in the School of Electrical and Computer Engineering, with secondary appointments in the Woodruff School of Mechanical Engineering, the School of Interactive Computing, and the Guggenheim School of Aerospace Engineering. 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 and the Alumni of the Year Award from the Royal Institute of Technology.