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...