A self-critique, revision, and verification loop makes small vision-language models produce more detailed and more executable robot plans, beating their own baselines and, on the paper's judge-based evaluation, plans from GPT-4o.
Brennan and Dale J
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Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning
A self-critique, revision, and verification loop makes small vision-language models produce more detailed and more executable robot plans, beating their own baselines and, on the paper's judge-based evaluation, plans from GPT-4o.