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Learning Skill Abstraction from Action-Free Videos via Optical Flow

Undergraduate Researcher - Robot Learning, Robot Learning Lab, NTUEE
Aug 2022 – Aug 2025

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Contributed to architecture design and core experiments for an imitation-learning model that uses optical flow as action primitives to learn from action-free demonstration videos; extended Meta-World and LIBERO for Sawyer and Panda arms and demonstrated cross-embodiment transfer.

Publication

Learning Skill Abstraction from Action-Free Videos via Optical Flow — ICML 2025 Workshop
Hung-Chieh Fang*, Kuo-Han Hung*, Chu-Rong Chen, Po-Jung Chou, Chun-Kai Yang, Po-Chen Ko, et al.