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RecastVLA: From Past Interaction to Future Control with Adaptive Policy States
Sequential manipulation requires a robot to track what has already happened, even when the current scene no longer reveals it. Policies with explicit history representations make past interactions available as context for current decisions. We ask how action generation itself can form a persistent s
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