RoboGaze: Evaluating Robot World Models via Structured Vision-Language Analysis
Overview
RoboGaze is a training-free multi-agent VLM evaluator that provides temporally localized diagnostic reports for robot world models. It outperforms existing baselines, including an agentic detector, and improves accuracy in detecting failures in synthetic manipulation videos, achieving 85% mean clean-clip accuracy on the strongest backbone.
From arXiv Robotics — research abstracts
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- 2026-10-30T23:02:46.121Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
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- arXiv Robotics — research abstractsSignalRoboGaze: Evaluating Robot World Models via Structured Vision-Language Analysis
RoboGaze is a training-free multi-agent VLM evaluator that provides temporally localized diagnostic reports for robot world models. It outperforms existing baselines, including an agentic detector, and improves accuracy in detecting failures in synthetic manipulation videos, achieving 85% mean clean-clip accuracy on the strongest backbone.
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