Jiaxing/Louis Li

Carnegie Mellon University. 5000 Forbes Ave

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34.140308, -118.355071

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I’m a research assistant at Robotics Institute, Carnegie Mellon University, fortunately advised by Prof. Changliu Liu, I’m also working closely with Prof. Sebastian Scherer and Yorie Nakahira. Piror to that I completed my M.S(2025) in Electrical and Computer Engineering from CMU and B.S(2023) in ECE from the City University of Hong Kong. My research interests lies in the intersection of control theory and robot learning, and my goal is to acheive optimized performance and safety tradeoff for multitasking robot agents.

During the free time I work with CMU HACKER FAB, where we design automated semiconductor fabrication robots, And I also like tennis 🎾, snowboarding 🏂, and fishing 🎣.

news

Mar 08, 2026 Joined CMU Moon Miner team, our team targeting the NASA Lunabotics Challenge.
Mar 08, 2026 Two papers submitted to IROS 2026 (IEEE/RSJ International Conference on Intelligent Robots and Systems).
May 15, 2025 Paper Accepted at IEEE Control Systems Letters!
Apr 08, 2025 “Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-Networks” has been accepted by Workshop on Formal Verification of Control with Neural Network Components and Control Systems Letters(L-CSS), See you in Denver at ACC 2025! 🎉

selected publications

  1. doubleBee.gif
    Learning Energy-Efficient Air–Ground Actuation for Hybrid Robots on Stair-Like Terrain
    soon
    IROS (Submitted), 2026
    Video
  2. bcbf.gif
    Online Safety Filter for Deformable Object Manipulation with Horizon Agnostic Neural Operators
    soon
    IROS (Submitted), 2026
    Video
  3. safe_koopman.gif
    Whole-Body Safe Control of Robotic Manipulators with Koopman Neural Dynamics
    IEEE International Conference on Robotics and Automation (ICRA 2026), 2026
    arXiv Video
  4. verifiable.png
    Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-Networks
    Jiaxing Li , Hanjiang Hu , Yujie Yang , and 1 more author
    IEEE Control Systems Letters, 2025
    HTML
  5. itsc_2024.gif
    Autonomous Drifting Based on Maximal Safety Probability Learning
    Hikaru Hoshino , Jiaxing Li , Arnav Menon , and 2 more authors
    In The 27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024) , 2024
    arXiv HTML

selected projects

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HACKER FAB
Designing DIY lithography systems for accessible semiconductor fabrication - contributing to Stepper v2.1, a precision optical patterning tool.
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Object Tracking Robot
A ROS2-based autonomous robot using YOLOv8 and Isaac ROS for real-time detection and tracking of 80 COCO dataset objects with stereoscopic depth perception.