Prof. Edwin Olson's interests focus on finding ways for robots to sense and understand their environment while coping with uncertainty and ambiguity. The perception problem is central to a variety of practical applications, from indoor robots that can lead tours or deliver mail to autonomous cars that can navigate urban environments. His work includes both fundamental algorithm research (optimization, state estimation, classification) and system building.
