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Yonsei University
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SPACE enables robots to learn from cross-robot data, achieving superior generalization and adaptability in diverse operational contexts.
Forget manual labeling: influence functions can automatically surface high-quality robot demonstrations, boosting policy performance by intelligently curating training data.
