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High-fidelity human bathing demonstrations reveal that robots can learn complex physical tasks through effective data transfer strategies, paving the way for safer clinical applications.
LLMs can translate free-form natural language feedback from users with paralysis into safe and personalized robot control policies, drastically reducing the burden of preference learning.
