Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible Tasks

Yuma Shida, Tomohiko Jimbo, Tadashi Odashima +1

Multi-object transport using multi-robot systems has the potential for diverse practical applications such as delivery services owing to its efficient individual and scalable coope…