Po-Chen Ko

Seeking for PhD position 2025 Fall! I obtained my Bachelor's degree 2024 Summer at National Taiwan University, advised by Prof. Shao-Hua Sun. I am interested in Computer Vision, Machine Learning, Robotics and Reinforcement Learning.

I was fortunate to visit Josh Tenenbaum’s lab at MIT in 2023 Spring semester, collaborating with Jiayuan Mao and Yilun Du on Learning to Act from Actionless Video through Dense Correspondences.

Email  /  GitHub  /  CV

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Publication

I am currently exploring video generative model as control policy for robotics.

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Context-Aware Replanning with Pre-Explored Semantic Map for Object Navigation


Po-Chen Ko*, Hung-Ting Su*, Ching-Yuan Chen*, Jia-Fong Yeh, Min Sun, Winston H. Hsu
CoRL 2024
arxiv / website / paper

We improved VLM-based semantic maps for Object Navigaiton by leveraging uncertainty information from the map to aid candidate selection.
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Learning to Act from Actionless Video through Dense Correspondences


Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum
ICLR 2024 (Spotlight)
arxiv / video / website / code / paper

We developed a robot policy using images, which can be trained without action annotations. It’s trained on RGB videos, effective for table-top tasks and navigation. Our framework also allows rapid modeling with just 4 GPUs in a day.

Awards

NTUEE Undergraduate Innovation Award

1st. prize



Design and source code stolen from Jon Barron's website