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Author

Xiangyu Li

2 papers indexed here

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Preprint Aug 2026

Zeva: In-Context Causal Learning for Generalizable Embodied Manipulation

Zeva is presented, the first framework that enables in-context learning from a robot's own physical interaction experience while keeping the policy model frozen, and achieves the best performance among the compared frontier VLAs and WAMs and enables self-evolution during deployment without gradient updates.

Fu Chen, Xin Ding, Bing-Jia Huang et al. · 3 citations
Preprint Aug 2026

Zetta $\zeta$: An Efficient Closed-Loop Embodied Harness for Self-Evolving Physical Intelligence

Zetta is presented, a closed-loop embodied harness that evolves code-based runtime critics and recovery skills online while keeping the base policy frozen, and shows that closed-loop harness self-evolution opens a scaling path for reliable physical intelligence.

Xin Ding, Liang Mi, Ming-Zhe Huang et al. · 7 citations · ⚡1

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