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Analysis

This paper addresses the challenge of achieving robust whole-body coordination in humanoid robots, a critical step towards their practical application in human environments. The modular teleoperation interface and Choice Policy learning framework are key contributions. The focus on hand-eye coordination and the demonstration of success in real-world tasks (dishwasher loading, whiteboard wiping) highlight the practical impact of the research.
Reference

Choice Policy significantly outperforms diffusion policies and standard behavior cloning.