Tianyuan Dai

I'm a Master's student in Computer Science at Stanford University, affiliated with the Stanford Vision and Learning Lab and Stanford PAIR Group. I have the privilege of conducting cutting-edge research in embodied AI and robotic learning, advised by Prof. Fei-Fei Li. Previously, I obtained a Bachelor's degree in Computer Science and Mathematics at the Hong Kong University of Science and Technology (HKUST), where I worked on 3D and multimodal generation, advised by Prof. Chi-Keung Tang and Prof. Yu-Wing Tai.

Special thanks to Prof. Hao Su, whose talk at HKUST in my final undergraduate semester inspired me to transition from computer vision to embodied AI. I am also deeply grateful to Josiah Wong, Yunfan Jiang, Chen Wang, and Ruohan Zhang for their invaluable advice on my research projects at Stanford.

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Research

My long-term vision is to integrate human-level understanding of real-world environments into robotics algorithms that assist people with daily tasks using data-driven approaches. I am passionate about both designing reliable robotic systems and developing innovative algorithms that enable more robust policies. Recently, my focus has been on developing real-to-sim-to-real paradigms for robust manipulation policy learning.

News

• [2024.09] ACDC accepted to CoRL 2024.

Publications

* Equal Contribution

Teaching

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