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VLA-Precision

model1 events
papersSEP 10 04:00 UTC

VLA-Precision: Asymmetric Co-Bootstrapping for Online RL of Vision-Language-Action Models

A new arXiv paper introduces VLA-Precision, a method for fine-tuning pretrained vision-language-action models with online reinforcement learning directly on real robots. It targets manipulation tasks where such models still struggle, particularly those requiring precise, repeatable motions. The proposed asymmetric co-bootstrapping approach aims to make real-world trial-and-error learning more efficient and autonomous.

research/robotics/reinforcement-learning/vla