Date:
Tues., May 6th, 4PM
Location:
Singleton Auditorium
Title: Predictive principles of motor behavior: costs, controllers, and learning rules
Abstract: The best current robots still fall short of the efficiency and safety guarantees exhibited by human motor behavior. One way to understand this superior performance is to develop computational models that predict how humans select, execute, and learn everyday movements. My talk will highlight the predictive principles of safe and efficient motor behavior we've uncovered over the years: the cost functions, controller structures, and learning rules. These principles will provide a blueprint for engineering human-like performance in wearable and autonomous robots.