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Yihe Tang Hi, I'm Yihe. I am a master student at Stanford CS. I am affiliated with Stanford Vision and Learning Lab, where I'm honored to work with Prof.Jiajun Wu and Prof.Fei-Fei Li. I work on embodied agents, robot learning and simulation environments. Before joining Stanford, I received my B.S. in Computer Science and Applied Mathematics from UC San Diego, where I worked with Prof.Hao Su. I'm actively looking for a PhD position starting from Fall 2025. If you are interested in my research, feel free to reach out! |
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ResearchMy research goal is to develop robots capable of performing diverse household tasks. Towards this goal, I have been working on robust representations that leverage foundation models for generalizable manipulation. In the future, I am also interested in exploring cross-embodiment transfer and multi-modal sensing. |
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UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation
Yihe Tang*, Wenlong Huang*, Yingke Wang, Chengshu Li, Ruohan Zhang, Jiajun Wu, Li Fei-Fei ICRA, 2025 (In submission) CoRL Workshop on Language and Robot Learning, 2024 (Oral Talks) CoRL Workshop on Mastering Robot Manipulation in a World of Abundant Data, 2024 project page
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BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation
Yunhao Ge*, Yihe Tang*, Jiashu Xu*, Cem Gokmen*, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu CVPR, 2024 (Highlight) project page / arXiv
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ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Jiayuan Gu†, Fanbo Xiang†, Xuanlin Li*, Zhan Ling*, Xiqiang Liu*, Tongzhou Mu*, Yihe Tang*, Stone Tao*, Xinyue Wei*, Yunchao Yao*, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su ICLR, 2023 project page / arXiv
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Template from Jon Barron's website. |