Abstract: In this note, a fully distributed and prescribed-time control approach is developed to achieve consensus for multiple agent systems under certain optimal constraints. By virtue of local ...

Abstract: Sampling-based motion planning methods for manipulators in crowded environments often suffer from expensive collision checking and high sampling complexity, which make them difficult to use ...

UMI on Legs is a framework for combining real-world human demonstrations with simulation trained whole-body controllers, providing a scalable approach for manipulation skills on robot dogs with arms.