#safety-monitoring News & Analysis

2 articles tagged with #safety-monitoring. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBearisharXiv – CS AI · Jun 47/10

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Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs

Researchers evaluated Vision-Language-Action models in autonomous driving under sensor degradation, finding that explanation consistency (Chain-of-Causation) strongly correlates with trajectory reliability. When model explanations change due to perturbations like fog or noise, trajectory errors increase 5.3x, suggesting reasoning consistency could serve as a safety monitoring tool for autonomous vehicles.

AIBearisharXiv – CS AI · Jun 16/10

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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.