Interacting with Multi-Robot Networks: Controllability and Beyond

Magnus Egerstedt photo
 

Wednesdays@NICO Seminar, Noon, January 30, Chambers Hall, Lower Level

Prof. Magnus Egerstedt, Georgia Tech

Abstract

The last few years have seen significant progress in our understanding of how one should structure multi-robot systems. New control, coordination, and communication strategies have emerged and, in this talk, we summarize some of these developments. In particular, we will discuss how to go from local control rules to global behaviors in a systematic manner in order to achieve distributed geometric objectives, such as achieving and maintaining formations, area coverage, and swarming behaviors. We will also investigate how users can interact with networks of mobile robots in order to inject new information and objectives. The efficacy of these interactions depends directly on the interaction dynamics and the structure of the underlying information-exchange network. We will relate  these network-level characteristics to controllability notions in order to produce effective human-swarm interaction strategies.

Biography

Magnus B. Egerstedt was born in Stockholm, Sweden, and is a Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, where he has been on the faculty since 2001. He also holds an adjunct appointment in the School of Interactive Computing with the College of Computing at Georgia Tech. Magnus Egerstedt received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, in 1996 and 2000 respectively, and he received the B.A. degree in Philosophy from Stockholm University in 1996. Dr. Egerstedt's research interests include hybrid and networked control, with applications in motion planning, control, and coordination of mobile robots, and he serves as Editor for Electronic Publications for the IEEE Control Systems Society and Associate Editor for the Journal of Discrete Event Systems and Nonlinear Analysis: Hybrid Systems. Magnus Egerstedt is the director of the Georgia Robotics and Intelligent Systems Laboratory (GRITS Lab), is a Fellow of the IEEE, received the ECE/GT Outstanding Junior Faculty Member Award in 2005, the Georgia Tech Teaching Efficiency Award in 2012, and the CAREER Award from the U.S. National Science Foundation in 2003. More information can be found here at Professor Egerstedt's website.