Research
I'm interested in robotics, embodied AI. Recently, my research interests have primarily focused on dexterous manipulation, bimanual manipulation, and humanoid robot manipulation. I am particularly interested in learning from human data or leveraging human data for boosting performance.
(*: Equal contribution. Co-first Author.)
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Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt
Xiang Zhu, Yichen Liu, Hezhong Li, Jianyu Chen
arXiv preprint, 2025
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UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent
Jianke Zhang, Yanjiang Guo, Yucheng Hu, Xiaoyu Chen, Xiang Zhu, Jianyu Chen
International Conference on Machine Learning(ICML), 2025
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Advancing humanoid locomotion: Mastering challenging terrains with denoising world model learning
Xinyang Gu*, Yen-Jen Wang*, Xiang Zhu*, Chengming Shi*, Yanjiang Guo, Yichen Liu, Jianyu Chen
Robotics: Science and Systems (RSS), 2024
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Best Paper Award Finalists.
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A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation
Xiang Zhu, Zixuan Chen, Jianyu Chen
arXiv preprint, 2023
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Stylized table tennis robots skill learning with incomplete human demonstrations
Xiang Zhu, Shucheng Kang, Jianyu Chen
International Conference on Intelligent Robots and Systems (IROS), 2022
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