Publications: Multiple papers accepted to top conferences such as NeurIPS 2025, ICML 2025, CVPR 2025, ICLR 2025. Awards: X-VLA won 1st place in the AGIBOT World Challenge (Manipulation track) @ IROS 2025. Other Achievements: Released X-VLA, a cross-embodiment model that sweeps many benchmarks and achieves strong real-world performance.
Research Experience
Currently a final-year PhD candidate at AIR, Tsinghua University, focusing on embodied AI and reinforcement learning.
Education
PhD: AIR, Tsinghua University, advised by Prof. Xianyuan Zhan and Prof. Ya-Qin Zhang; Bachelor's: School of Mechanical Engineering, Xi'an Jiaotong University, where he did lots of projects on mechanical design and robotics.
Background
Research Interests: Embodied AI and Reinforcement Learning (RL). Dream is to develop robots that are universally deployable across diverse real-world environments. Current work focuses on: How to build robotic foundation models efficiently when robotics data are limited? How to fastly enhance robot performance given limited budget? How to use RL to reach super-human performance on diverse domains, like robots, VLMs or LLMs?
Miscellany
Personal Interests: Open to collaboration, feel free to reach out. Contact: Github, Twitter, Google Scholar, li-jx21@mails.tsinghua.edu.cn