Professor of Robotics
Robotics
Dr. Tumer's research focuses on learning, optimization and control in large complex systems; learning and coordination in multiagent systems; distributed reinforcement learning; and evolutionary algorithms for control and optimization. Applications of this work include multi-robot coordination, mobile robot navigation, distributed sensor coordination, air traffic management, wave energy converter optimization, transportation systems, and intelligent energy management.