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Zeva-Ego: Egocentric Mid-Training with In-Context Causal Learning for Robot Manipulation
Egocentric video offers a scalable source of physical interaction experience, yet translating it into robot-executable knowledge and enabling continual adaptation remain challenging. We introduce Zeva-Ego, a unified framework that learns physical priors from human experience and evolves through robo
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