AIBearisharXiv – CS AI · 7h ago6/10
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Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration
Researchers introduce TouchSafeBench, a physics-grounded benchmark for evaluating how well vision-language models can detect robot collisions with humans and objects. Testing three frontier VLMs reveals critical safety gaps, with best performance below 50% accuracy, exposing that visual fluency in AI models does not guarantee physical safety accountability in real-world human-robot collaboration scenarios.