Controls and Art

Metric Preference Learning with Applciations to Motion Imitation.- In the Dance Studio: An Art and Engineering Exploration of Human Flocking.- Dancing Robots: The Control Theory of Communication Through Movement.- So You Think You Can Dance?: Rhythmic Flight Performances with Quadrocopters.- Robotic Puppets and the Engineering of Autonomous Theatre.- The Artistic Geometry of Consensus Protocols.- Generating Music from Flocking Dynamics.- "Are We There Yet?": Visual Tracking of Visitors Under Variable Lighting.- Style-based Robotic Motion in Contemporart Dance Performance.

Amy LaViers is an Assistant Professor at the University of Virginia and the director of the Robotics, Automation, and Dance (RAD) Lab. She completed an undergraduate thesis at Princeton University and a doctoral dissertation at Georgia Inst. of Technology that straddle the world of art and control engineering. Her thesis at Princeton received top thesis prizes and her dissertation at Georgia Tech was accompanied by a contemporary dance show entitled "Automaton." She is the co-organizer of two Invited Sessions (the first of their kind) on Controls and Art at the American Control Conference. She received the ECE Graduate Teaching Excellence Award at Georgia Tech and the Calvin Dodd MacCracken Senior Thesis Prize, Morgan Mckenzie Senior Thesis Prize, and Lyman Page Dance Award at Princeton.



Magnus B. Egerstedt 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/GTOutstanding Junior Faculty Member Award in 2005, the Georgia Tech Teaching Efficiency Award in 2012, and the