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Author

Chengyang Zhang

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ProcVLM: Learning Procedure-Grounded Progress Rewards for Robotic Manipulation

ProcVLM is presented, a progress-aware vision-language model that learns procedure-grounded progress as a dense reward signal for manipulation and improves embodied procedural reasoning and yields more discriminative trajectory-internal progress estimates than representative baselines.

You-He Feng, Han Shi, Haoyang Li et al. · 11 citations

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