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Commit While Futures Agree: Consequence-Aware Adaptive Action Chunking for Robot Manipulation
Action-chunking policies predict multi-step control sequences, but a fundamental question remains: how much of a predicted action chunk should be committed before replanning? Existing systems typically execute a fixed-length prefix, implicitly assuming that the same execution horizon remains trustwo
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