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Full name: 
Magnus Egerstedt
Job title: 
; Executive Director, Institute for Robotics and Intelligent Machines; Julian T. Hightower Chair Professor in Systems and Controls
Technical Interest Groups: Systems and Controls, Computer Systems and Software
Email address: 
Work phone: 

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, the Outstanding Doctoral Advisor Award and the HKN Outstanding Teacher Award from Georgia Tech, and the Alumni of the Year Award from the Royal Institute of Technology.

Research interests: 
  • Control Theory
  • Robotics
  • Cyber-Physical Systems
  • Complex Networks

• Distinguished Faculty Achievement Award, School of ECE, Georgia Tech, 2018

• IEEE International Conference on Robotics and Automation, Best Multi-Robot Systems Paper Award, 2017

• John R. Ragazzini Education Award, American Automatic Control Council, 2015

• Georgia Tech Outstanding Doctoral Thesis Advisor Award, 2015

• W. Marshall Leach, Jr./Eta Kappa Nu Outstanding Senior Teacher Award, 2013

• Royal Institute of Technology Alumni of the Year Award, 2013

• IEEE Fellow, 2012

H. Jaleel, A. Rahmani, and M. Egerstedt, Probabilistic Life Time Maximization of Sensor Networks, IEEE Transactions on Automatic Control, Vol. 58, No. 2, pp. 534-539, 2013, Feb. 2013.

M. Zavlanos, M. Egerstedt, and G. Pappas, Graph Theoretic Connectivity Control of Mobile Robot Networks, Proceedings of the IEEE, Vol. 99, No. 9, pp. 1525-1540, Sept. 2011.

M. Mesbahi and M. Egerstedt, Graph Theoretic Methods for Multiagent Networks, Princeton University Press, Princeton, NJ, Sept. 2010.

M. Egerstedt and C. Martin, Control Theoretic Splines: Optimal Control, Statistics, and Path Planning, Princeton University Press, Princeton, NJ, Feb. 2010.

A. Rahmani, M. Ji, M. Mesbahi, and M. Egerstedt, Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective, SIAM Journal on Control and Optimization, Vol. 48, No. 1, pp. 162-186, Feb. 2009.

M. Ji and M. Egerstedt, Distributed Coordination Control of Multi-Agent Systems While Preserving Connectedness, IEEE Transactions on Robotics, Vol. 23, No. 4, pp. 693-703, Aug. 2007.

M. Egerstedt, Y. Wardi, and H. Axelsson, Transition-Time Optimization for Switched Systems, IEEE Transactions on Automatic Control, Vol. 51, No. 1, pp. 110-115, Jan. 2006.

M. Egerstedt and R.W. Brockett, Feedback Can Reduce the Specification Complexity of Motor Programs, IEEE Transactions on Automatic Control, Vol. 48, No. 2, pp. 213-223, Feb. 2003.

Last revised May 14, 2018

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