AI RESEARCH
VLA-Pro: Cross-Task Procedural Memory Transfer for Vision-Language-Action Models
arXiv CS.AI
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ArXi:2605.29562v1 Announce Type: cross Vision-Language-Action~(VLA) models have shown strong potential for general-purpose robotic manipulation, yet they still struggle to generalize to unseen tasks that necessitate transferring relevant experience across objects, scenes, and action patterns. This paper proposes VLA-Pro, a plug-and-play framework designed to enhance cross-task generalization by storing task-relevant procedural memories at