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Action chunking's real power lies in its ability to create implicit ensembles, boosting robustness and generalization beyond traditional policy approaches.
Downstream performance hinges on SSL pre-training language, not the NAC training language, enabling efficient cross-language model reuse.
Flow Reversal Steering transforms vague human commands into precise robotic actions, achieving up to 95% higher success rates in real-world tasks with minimal training.
