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.
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 Robotics and Automation Letters (RA-L)
[ArXiv] [Website]
TL, DR: DUAWLFIN is a drone with unified actuation for wheeled locomotion and flight operation that achieves efficient, bidirectional ground mobility.
Jerry Tang, Ruiqi Zhang, Kaan Beyduz, Yiwei Jiang, Cody Wiebe, Haoyu Zhang, Osaruese Asoro, Mark W. Mueller
in submission to IEEE Robotics and Automation Letters (RA-L)
[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."
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."
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
- 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
- AE10: Introduction to Aerospace Engineering Design, 2025-2026 (GSI, expected)
- Advisor of Berkeley M.Eng. Capstone Team 79: Learning-based Energy-Optimal Path Planning for UAV, 2024-2025
Affiliations & Collaboration
Alumni
- Jiaze Cai, UC Berkeley M.Eng, 2023 - 2025. (afterward: MIT EECS PhD)
- Yuman Gao, Zhejiang University, PhD @Fast-Lab, 2024 - 2025.
- Andrew Campos, Columbia University, Visiting RA, 2025
- William Su, UC Berkeley B.Sc., 2023 - 2028.
- Amrik R. Verma, UC Berkeley B.Sc., 2024 - 2028.
Miscellanea
Recently, I like listening to J-POP, City-POP and classical Piano Music. Also I'm an audience of MLB, NBA, Formula 1 and Japanese animation. Specifically, I'm one of the loyal fans of YOASOBI and Ohtani Shohei.
My landscape photography style is deeply influenced by Linksphotograph. Find my works at Instagram with my lovely NIKON Zf / Zfc.
As most of boys from China, 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 Avenue, Etcheverry Hall, University of California, Berkeley, CA 94709, USA