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R2S-Eval: Robot Evaluation with Real-to-Sim Calibration via Vision-Language Models
Evaluating robot manipulation policies is becoming increasingly important as generalist models, particularly vision-language-action (VLA) models, are deployed on physical robots. However, conventional real-world evaluation remains labor-intensive, unstable, and insufficiently informative. It require
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