Selected Publications


ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning
Ruiqi Zhang, Dingqi Zhang, Mark W. Mueller
IEEE International Conference on Robotics and Automation (ICRA), 2025
[ArXiv] [Video] [Website]
TL, DR: A residual RL-based controller for hovering, tracking in close proximity and midair quadcopter docking.

DUAWLFIN: A Drone with Unified Actuation for Wheeled Locomotion and Flight Operation
Jerry Tang, Ruiqi Zhang, Kaan Beyduz, Yiwei Jiang, Cody Wiebe, Haoyu Zhang, Osaruese Asoro, Mark W. Mueller
in submission to IEEE/ASME Transactions on Mechatronics (T-Mech)
[ArXiv] [Website]
TL, DR: DUAWLFIN is a drone with unified actuation for wheeled locomotion and flight operation that achieves efficient, bidirectional ground mobility.

Residual Policy Learning Facilitates Efficient Model-Free Autonomous Racing
Ruiqi Zhang, Jing Hou, Guang Chen*, Zhijun Li, Jianxiao Chen, Alois Knoll
IEEE Robotics and Automation Letters, 2022
[Paper] [Video] [Code]
"A human-level RL-based controller for generalizable high-speed mapless Autonomous Racing."

Scalable Differentiable Reward Learning for Real-World Safe Autonomous Driving
Jing Hou, Jiayi Guan, Ruiqi Zhang, et al.
in submission to Nature Communications
[Pre-Print] [Code]
"We propose a differentiable reward method to learn a safe, scalable policy for EV autonomous driving in the real world."

Awards


  • Berkeley Summer Graduate Scholarship, 2025
  • Shanghai Outstanding Student, 2023 (Ranking 1st)
  • Weichai Enterprise Scholarship, 2022
  • Silver Prize of Formula Student China, 2021
  • Tongji Outstanding Scholarship for Undergraduates, 2019, 2020

Service


Academic Reviewer (partial)

  • IEEE Transactions on Robotics (T-RO)
  • International Journal of Robotics Research (IJRR)
  • IEEE Transaction on Automation Science and Engineering (T-ASE)
  • IEEE Robotics and Automation Letters (RA-L)
  • IEEE International Conference on Robotics and Automation (ICRA)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • IEEE Conference on Decision and Control (CDC)

Organization

  • Bay Area Robotics Symposium, 2024, Student Organizer

Teaching

  • TA of AE10: Introduction to Aerospace Engineering Design, 2025-2026 (Expected)
  • Advisor of Berkeley M.Eng. Capstone Team 79: Learning-based Energy-Optimal Path Planning for UAV, 2024-2025

Affiliations

Collaboration


Advisors

Prof. Mark W. Mueller
UC Berkeley

Prof. Guang CHEN
Tongji University

Prof. Alois Knoll
TU München

Prof. Lin SHAO
NUS

Dr. Xiao MA
Temu

Dr. Jing HOU
DJI


Alumni

  • Jiaze CAI, UC Berkeley M.Eng, 2024. (afterward: MIT EECS PhD)
  • Dongqi ZUO, UC Berkeley M.Eng, 2025.
  • Mingxuan WANG, UC Berkeley M.Eng, 2025.
  • Johnson Chiang, UC Berkeley M.Eng, 2025.
  • Eric Schuster, UC Berkeley M.Eng, 2025.
  • Pinyu PAN, UC Berkeley M.Eng, 2025.
  • William SU, UC Berkeley B.Sc., 2023 - 2028.

Miscellanea


In my spare time, I'm an audience of MLB, NBA, Formula 1 and Japanese animation. I'm also a listener of J-POP, City POP and classical Piano Music. Specifically, I'm a big fan of YOASOBI and Shohei Ohtani.
I'm also a landscape photographer with my NIKON Zf / Zfc, see my works at Instagram.
Also I'm a player of wide-range Games like Genshin Impact and PalWorld.
Welcome to contact me for any reason!

Contact

  • richzhang@berkeley.edu
  • 2505 Hearst Ave., Etcheverry Hall, University of California, Berkeley, CA 94709, USA