Kai Lu

Kai Lu is a D.Phil. student (2020 - 2024) in Computer Science at University of Oxford, supervised by Prof. Andrew Markham, and within the theme of Artificial Intelligence and Machine Learning. His departmental advisor is Prof. Niki Trigoni. Prior to this, he received his B.E. degree with outstanding graduate honor in Automation from Tsinghua University in 2020. Before that, he was selected for the Tsinghua Leading Talent Program in 2016, which can be found in Tsinghua's Book (Vol. 3) and SOHO.com.

During his study, he was a student research assistant at State Key Lab of Intelligent Systems and Technology at the Department of Computer Science from 2017 to 2019, advised by Prof. Huaping Liu. He was a visiting scholar at Intelligent Motion Lab at Duke University and University of Illinois Urbana-Champaign in 2019, advised by Prof. Kris Hauser. He completed his bachelor thesis at Robot Locomotion Lab and he was a member of the winning team in Humanoid League in RoboCup 2019, advised by Prof. Mingguo Zhao. After that, he was a visiting scholar at Visual Learning and Reasoning Group at Hong Kong PolyU in 2022, advised by Prof. Bo Yang. In Oxford, he works closely with Prof. Guangrun Wang.

Currently, he is working on robot learning, reinforcement learning, and embodied intelligence, with applications mainly on generalizable mobile manipulation. He has published several papers in ICRA, IROS, and NeurIPS. He also served as a reviewer in ICRA, NeurIPS and ICLR. Feel free to reach out for collaboration and discussion of research ideas.