DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation

DynamicVLA addresses challenges in manipulating moving objects by integrating temporal reasoning and closed-loop adaptation into a Vision-Language-Action (VLA) model. It uses a compact 0.4B VLA with efficient vision encoding, continuous inference for overlapping reasoning, and latent-aware action streaming to ensure timely and temporally aligned control during dynamic tasks.

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