Robot Planning and Manipulation: Symbols, Geometry, and Feasibility
Abstract: Autonomous robots need to decide on actions and follow motions to achieve those actions, yet issues of symbolic planning and motion planning have long been addressed separately. This talk describes our work on integrated task and motion planning leading to a key challenge, and our novel results, on deciding the existence of motion plans. This line of work offers new capabilities for robots to plan for difficult and complex manipulation scenarios.
Bio: Neil T. Dantam is an Associate Professor of Computer Science at the Colorado School of Mines. His work focuses on robot planning and manipulation, covering task and motion planning, kinematics, robot communication, and real-time software.