LLM-generated collaboration strategies for decentralized heterogeneous robot teams reduce multi-object search time by up to 53% and support adaptive re-planning when a robot slows down, in simulation.
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SayCoNav: Utilizing Large Language Models for Adaptive Collaboration in Decentralized Multi-Robot Navigation
LLM-generated collaboration strategies for decentralized heterogeneous robot teams reduce multi-object search time by up to 53% and support adaptive re-planning when a robot slows down, in simulation.