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Revision, Not Restart: Revisable Visual Plans for Closed-Loop World-Action Models
World-action models use predicted visual futures to condition robot actions, yet execution feedback can invalidate parts of a prediction while leaving its task structure useful. We propose Revisable Temporal Planning (RTP), which maintains the visual future as a persistent action condition and revis
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