Xiaonan Huang
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126
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Vision×1AI×1NLP×1Robotics×1
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2026
Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration
The paper introduces TouchSafeBench, a physics-grounded benchmark, to evaluate collision grounding—the ability to predict robot-human collisions—and finds that current Vision-Language Models (VLMs) are unreliable for safe human-robot collaboration.
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