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I'm a recent graduate of MIT, where I did my MEng ('25) at LIDS advised by Luca Carlone. Before that, I did my B.S. in Artificial Intelligence ('24), where I was fortunate to work with Ge Yang, Phillip Isola, and John Leonard at CSAIL. I do research in robot learning and am particularly interested in foundation models, generative-AI + simulation, and evaluation. In my free time I enjoy swimming and attempting to play the guitar. Email / Google Scholar / X / Github / LinkedIn |
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Recent Updates(more)
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Research |
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LucidSim: Learning Visual Parkour from Generated Images
Alan Yu*, Ge Yang*, Ran Choi, Yajvan Ravan, John Leonard, Phillip Isola Conference on Robot Learning (CoRL) 2024 website / arXiv / code / video / news video / news We use generative models as a realistic and diverse data source by augmenting classical physics simulators. We demonstrate that robots trained this way can accomplish highly dynamic tasks like parkour without requiring depth. |
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Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
William Shen*, Ge Yang*, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola Conference on Robot Learning (CoRL) 2023 (Best paper award) website / arXiv / code / video / news We distill features from 2D foundation models into 3D feature fields, and enable few-shot language-guided manipulation that generalizes across object poses, shapes, appearances and categories. |
TeachingTA for Robotics: Science and Systems (6.4200), Spring 2024 + 2025. |