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ROVE: Unlocking Human Interventions for Humanoid Manipulation via Reinforcement Learning
Human interventions provide crucial corrective signals for post-training Vision-Language-Action (VLA) models. However, enabling seamless humanoid interventions is a formidable systems challenge due to complex whole-body kinematics and dexterous-hand control. Consequently, the collected intervention
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