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Jiashun Wang
I am a fourth-year PhD student at Robotics Institute, School of Computer Science at Carnegie Mellon University, advised by Prof. Jessica Hodgins.
I obtained my master degree at UC, San Diego, advised by Prof. Xiaolong Wang. I received my B.S. degree in Statistics and Data Science from Fudan University.
I have interned at NVIDIA, working with Prof. Xue Bin Peng, and at RAI working with Dr. Farbod Farshidian, where I train policies on E-Atlas and Unitree G1.
My research lies at the intersection of computer graphics and robotics. I primarily focus on physics-based character animation, with an emphasis on learning dynamic motor skills and leveraging them to handle diverse scenarios, such as competition in sports. I also apply learning-based control algorithms to humanoid robots, enabling them to acquire athletic skills in a natural and human-like manner.
If you're interested in discussing research or exploring potential collaborations, feel free to email me.
Email  / 
Google Scholar  / 
Github
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* indicates equal contributions.
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ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
Tairan He*, Jiawei Gao*, Wenli Xiao*, Yuanhang Zhang*, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbab, Chaoyi Pan, Zeji Yi, Guannan Qu, Kris Kitani, Jessica Hodgins, Linxi "Jim" Fan, Yuke Zhu, Changliu Liu, Guanya Shi
RSS, 2025
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Strategy and Skill Learning for Physics-based Table Tennis Animation
Jiashun Wang,
Jessica Hodgins,
Jungdam Won
SIGGRAPH, 2024
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SMPLOlympics: Sports Environments for Physically Simulated Humanoids
Zhengyi Luo*,
Jiashun Wang*,
Kangni Liu*,
Haotian Zhang,
Chen Tessler,
Jingbo Wang,
Ye Yuan,
Jinkun Cao,
Zihui Lin,
Fengyi Wang,
Jessica Hodgins,
Kris Kitani
Preprint, 2024
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