Robot Behavior

Faculty fellows have ongoing research projects in planning, learning and control of mobile and humanoid robots in single and multi-robot contexts. These projects span a variety of objectives, methods and domains. Examples include probabilistic and topological localization and mapping in mobile single and multi-robot environments, motion planning in the context of dynamic obstacles and for smart wheelchairs for mobility and visually impaired persons, coordination of multiple aerial robots to simulate UAV reconnaissance and interception, and identifying patrolling robot behavior using inverse reinforcement learning. Robotics platforms used in the research include ground and aerial mobile robots and humanoids.