Multi-agent RL produces robot policies that form balanced supporting shapes under arbitrary objects for cooperative transport and generalize across cluttered scenes and complex geometries.
Distributed cooperative manipulation of an elastic object by a team of mobile robots,
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Shape Formation for the Cooperative Transportation of Arbitrary Objects Using Multi-Agent Reinforcement Learning
Multi-agent RL produces robot policies that form balanced supporting shapes under arbitrary objects for cooperative transport and generalize across cluttered scenes and complex geometries.