Cao Ting says embodied AI is now chasing self-evolution as data factories cool
AITsinghua AIR professor Cao Ting tells Leiphone that robots trained offline still fail in real settings, so teams are turning to in-context learning. She says her group's Zeva and Zeva-Ego models extract action-effect pairs from video, and that factory deployment still relies on fine-tuning for 99% precision.
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Leiphone · leiphone.comPublished · added here
Original title: 清华曹婷：具身今年才追自进化，我们已在这条路上走很远了 | 世界模型 50 人