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title
RoCo: Dialectic Multi-Robot Collaboration with Large Language Models
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Muli-robot collaboration using LLMs
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2026-02-21 12:16:45
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RoCo: Dialectic Multi-Robot Collaboration with Large Language Models RoCo: Dialectic Multi- Ro bot Co llaboration with Large Language Models Mandi Zhao,   Shreeya Jain,   Shuran Song Columbia University, Stanford University Paper |   Code |   Appendix |   Video We propose a novel approach to multi-robot collaboration that harnesses the power of pre-trained large language models (LLMs) for both high-level communication and low-level path planning. Robots are equipped with LLMs to discuss and collectively reason task strategies; then generate sub-task plans and task space waypoint paths, which are used by a multi-arm motion planner to accelerate trajectory planning. We also provide feedback from the environment, such as collision checking, and prompt the LLM agents to improve their plan and waypoints in-context. For evaluation, we introduce RoCoBench, a 6-task benchmark covering a wide range of multi-r...
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