Sampling-based motion planners have enjoyed widespread success in the robotics community and have fueled significant research developments. Our laboratory has been actively involved in the development of sampling-based planners since their conception.

This talk will relate the current state-of-the-art and detail on-going work on developing planners for systems with increased physical realism by addressing difficulties that arise in handling dynamics and high-dimensional geometry.