Beyond Successful Robot Demonstrations: Learning from Human Interactions and Modeling Failure Dynamics
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摘自论文摘要
Action-conditioned world models offer a promising foundation for generalist robotic intelligence by predicting the consequences of actions. However, existing robotic datasets provide limited coverage of the diverse interaction dynamics required for generalizable world modeling.
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