A VLM+LLM pipeline on an AMR classifies anomalies as Hazardous or Conflict and triggers mitigation actions, reporting 91.2% accuracy and a 6-second average latency in small indoor trials.
Efficient human-robot collaboration: when should a robot take initiative?The International Journal of Robotics Research, 36(5-7):563–579, 2017
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Embodied Hazard Mitigation using Vision-Language Models for Autonomous Mobile Robots
A VLM+LLM pipeline on an AMR classifies anomalies as Hazardous or Conflict and triggers mitigation actions, reporting 91.2% accuracy and a 6-second average latency in small indoor trials.