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RouteRLT: Learning When and Which RL Specialist Should Control a Vision-Language-Action Policy

Zhu, Chongyu et al.
arXiv (All) · Papers
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robotics
Vision-language-action (VLA) models provide broad manipulation competence, but often struggle during the precision-critical stages that dominate contact-rich industrial tasks such as connector insertion and cable management. A common remedy is to refine a pretrained VLA with reinforcement learning (
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