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

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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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