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Inline Memory Meets Reusable Skills: Memory-centric Framework for Vision-Language-Action Model
Vision-Language-Action (VLA) models have shown strong promise for general-purpose robotic manipulation, yet adapting them to new tasks and domains remains inefficient: existing methods often rely on parameter tuning, incurring substantial costs and risking catastrophic forgetting of previously learn
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