A closed-loop multi-agent LLM framework enables heterogeneous robots to collaboratively manipulate objects by decomposing tasks, grounding actions via visual tools, and recovering from execution failures hierarchically.
PIP-LLM: Integrating PDDL-Integer Pro- gramming with LLMs for Coordinating Multi-Robot Teams Using Natural Language.arXiv preprint arXiv:2510.22784, 2025
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A Closed-Loop Multi-Agent Framework for Robust Multi-Robot Manipulation
A closed-loop multi-agent LLM framework enables heterogeneous robots to collaboratively manipulate objects by decomposing tasks, grounding actions via visual tools, and recovering from execution failures hierarchically.