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PersonJiaoyuan Mao

Jiayuan Mao

A researcher at the University of Pennsylvania (UPenn) whose work focuses on embodied intelligence, robot generalization, and neuro-symbolic world models. Representative work includes the RAPID framework and the TR metric.

Timeline (last 90 days)

Oct 14

Mao Jiayuan of a joint team from UPenn, MIT, and Stanford introduced the RAPID closed-loop framework at the IROS 2026 conference, which can generalize to execute multiple non-prehensile tasks from just a single human demonstration.

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Mao Jiayuan of a joint team from UPenn, MIT, and Stanford introduced the RAPID closed-loop framework at the IROS 2026 conference, which can generalize to execute multiple non-prehensile tasks from just a single human demonstration.

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Source Articles

UPenn's Mao Jiayuan: One-Shot Demonstration Generalization to Crack the Embodied AI Data DilemmaOct 14