Scale-Plan: Revolutionizing Multi-Robot Collaboration with LLM-Powered Planning

research #llm 🔬 Research|Analyzed: Mar 11, 2026 04:04•

Published: Mar 11, 2026 04:00

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1 min read

•ArXiv Robotics

Analysis

Scale-Plan is a groundbreaking framework that leverages the power of 大规模语言模型 (LLM) to enhance long-horizon task planning for heterogeneous multi-robot systems. By filtering irrelevant information, Scale-Plan drastically improves scalability and efficiency, making complex multi-agent tasks much more manageable.

Key Takeaways

•Scale-Plan utilizes LLMs to generate efficient problem representations.
•It filters irrelevant information to enhance planning efficiency.
•The framework introduces a new benchmark, MAT2-THOR, for multi-robot planning systems.

Reference / Citation

"Scale-Plan outperforms pure LLM and hybrid LLM-PDDL baselines across all metrics, improving scalability and"

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ArXiv RoboticsMar 11, 2026 04:00

* Cited for critical analysis under Article 32.

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Source: ArXiv Robotics