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An end-to-end policy trained on ~500 teleoperation demonstrations combined with a sim-based whole-body controller achieves 80–90% success on unseen, chaotic real-world environments without any zero-shot fine-tuning. Demonstrates strong generalization of learned manipulation policies on a full humanoid platform.