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2026

Anomaly Management in Multi-Robot Coordination: Detection and Handling Framework for Self-Driving Laboratories

This study introduces an innovative framework for anomaly detection and handling in multi-robot collaboration within scientific laboratories, addressing challenges posed by complex procedures and precision equipment. We propose a hierarchical approach utilizing large language models (LLMs) for task planning, action dec...

Yang Yang, Jian-Kun Yang, Hai-Bo Lu et al. · 0 citations

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