I am interested in finding elegant control solutions for interesting (underactuated, stochastic, and/or difficult to model) dynamical systems that I can build and experiment with.
Contact Info
Professor Tedrake’s research group is interested in underactuated motor control systems in animals and machines that are capable of executing dynamically dexterous tasks and interacting with uncertain environments. They believe that the design of these control systems is intimately related to the mechanical designs of their machines, and that tools from machine learning and optimal control can be used to exploit this coupling when classical control techniques fail. Current projects include robust and efficient bipedal locomotion on flat terrain, multi-legged locomotion over extreme terrain, flapping-winged flight, and feedback control for fluid dynamics.
Academic Degrees
B.S.E., 1999, University of Michigan; Ph.D., MIT, 2004.
Awards & Honors
2013
Best Paper, International Conference on Robotics and Automation
2013
Best Paper, Hybrid Systems Computation and Control,
2011
Best Student Paper Award Finalist, Robotics, Science and Systems
2009
Best Paper Award, Robotics, Science and Systems
2009
DARPA, Young Faculty Award
2008
Microsoft Research, New Faculty Fellowship Award
2008
MIT, Jerome Saltzer Award
2008
National Science Foundation, Career Award