Pang-Chi Lo — accepted AI-conference papers

2025

VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation

Kuo-Han Hung, Pang-Chi Lo, Jia-Fong Yeh, Han-Yuan Hsu, Yi-Ting Chen, Winston H. Hsu

ICLR 2025poster

We study reward models for long-horizon manipulation by learning from action-free videos and language instructions, which we term the visual-instruction correlation (VIC) problem. Existing VIC methods face challenges in learning rewards for long-horizon tasks due to their lack of sub-stage awareness…

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2024

AED: Adaptable Error Detection for Few-shot Imitation Policy

Jia-Fong Yeh, Kuo-Han Hung, Pang-Chi Lo, Chi Ming Chung, Tsung-Han Wu, Hung-Ting Su +2

NeurIPS 2024poster

We introduce a new task called Adaptable Error Detection (AED), which aims to identify behavior errors in few-shot imitation (FSI) policies based on visual observations in novel environments. The potential to cause serious damage to surrounding areas limits the application of FSI policies in real-wo…

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