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Zichen Zhou

2 accepted papers

2026

Learning a Unified Latent Action Space from Videos with Action-centric Cycle Consistency

CVPR 2026

Video data provides a rich source beyond expensive action-labeled data for advancing robot learning. Recent approaches have demonstrated promising potential in leveraging video data by learning latent actions for policy training. The latent action tokenizer encodes latent actions between successive

Cited by 0SourceScholar
2025

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World

RSS 2025poster

Achieving human-level dexterity in robots is a key objective in the field of robotic manipulation. Recent advancements in 3D-based imitation learning have shown promising results, providing an effective pathway to achieve this goal. However, obtaining high-quality 3D representations presents two key…

Cited by 2PDFScholar