Resilient machines
University of Vermont
September 29, 2009
Science and Engineering, N 102

Intelligent robots must be able to not only adapt an existing behavior on the fly in the face of environmental perturbation, but must also be able to generate new, compensating behavior after severe, unanticipated change such as body damage. In this talk I will describe a physical robot with this latter capability, a capability we refer to as resiliency. The robot achieves this by (1) creating an approximate simulation of itself; (2) optimizing a controller using this simulator; (3) using the controller in reality; (4) experiencing body damage; (5) indirectly inferring the damage and updating the simulator; (6) re-optimizing a new controller in the altered simulator; and (6) executing this compensatory controller in reality. I will also describe recent work generalizing this approach to robot teams.

Refreshments will be served before the talk at 4:30.

Please email Kristina Striegnitz ( if you have any questions concerning the seminar series or if you would like to receive the seminar announcements by email.