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Video Replanning via Latent Embedding Refinement and Rejection-Based Sampling
Video planning has emerged as a flexible framework for robot manipulation, in which a generative model predicts a video of task completion, and a downstream module translates the predicted frames into actions. However, existing methods typically ignore information from past interactions, limiting th
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