HMCF combines LLM agents, retrieval-augmented configuration, and human-in-the-loop oversight to allocate tasks across heterogeneous robots, reporting higher success rates in simulation than several baselines, though without statistical significance.
Scalable multi-robot collaboration with large language models: Centralized or decentralized systems?
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HMCF: A Human-in-the-loop Multi-Robot Collaboration Framework Based on Large Language Models
HMCF combines LLM agents, retrieval-augmented configuration, and human-in-the-loop oversight to allocate tasks across heterogeneous robots, reporting higher success rates in simulation than several baselines, though without statistical significance.