most citedLearning Locally, Communicating Globally: Reinforcement Learning of Multi-robot Task Allocation for Cooperative Transport

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.RO2022★ 1 cited

Learning Locally, Communicating Globally: Reinforcement Learning of Multi-robot Task Allocation for Cooperative Transport

Kazuki Shibata, Tomohiko Jimbo, Tadashi Odashima +2

We consider task allocation for multi-object transport using a multi-robot system, in which each robot selects one object among multiple objects with different and unknown weights.…