10 events found.
Plan What You Can, Learn What You Must: Interleaving Planning and Learning for Multi-Robot Manipulation
Abstract: Multi-robot manipulation is becoming an inevitability of modern robotics. As hardware costs fall, the barrier to deploying robot teams has shifted from economics to algorithmic capability. To fulfill their promise, multi-robot systems must jointly reason about geometric coordination, contact interactions, task assignments, and scene dynamics, while adapting to variable team sizes and diverse robot [...]