PathTime-VLA: Path-Time Decoupling for Factorized Post-Training of Vision-Language-Action Policies

PathTime-VLA introduces a path-time decoupled action representation for Vision-Language-Action policies. It separates geometric guidance from execution timing, allowing distinct post-training interfaces for geometry and speed. This enables a staged learning process where demonstrations set a prior, RL learns execution multipliers, and diffusion refines the path generation.

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