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Hongyu Zhou
Ph.D. Candidate
Dept. of Aerospace Engineering
University of Michigan

Welcome

I'm Hongyu Zhou. Currently, I am a Ph.D. candidate at the Dept. of Aerospace Engineering, University of Michigan, under the supervision of Prof. Vasileios Tzoumas. Prior to that, I received the B.Eng. degree in Naval Architecture & Ocean Engineering from Huazhong University of Science and Technology (HUST), and the M.Sc. degrees in Marine Technology from Norwegian University of Science and Technology (NTNU). During my master's study, I undertook research on intelligent transportation systems, advised by Prof. Roger Skjetne. I was a research intern at Intelligent Control Lab, the Robotics Institute, CMU, advised by Prof. Changliu Liu. I also remotely worked with Dr. Zhuo Xu and Dr. Jiachen Li on socially-aware navigation for mobile robots and group-aware dense crowd forecasting at Mechanical Systems Control Lab, UC Berkeley.

My research interest lies in the interdisciplinary combination of robotics, machine learning, optimization, and control theories: online learning and adaptation for control under uncertainty with safety and performance guarantee for autonomous vehicles.

My research has been mainly applied but not limited to quadrotors, including reference trajectory tracking under unknown aerodynamic effects (e.g., drag, ground effects, and wind diturbances), safe autonomous flight in cluttered environments, and multi-robot target tracking.

Opening

We are looking for a self-motivated student for 590 project on using Lidar for state estimation and mapping. Relevant papers are Fast-LIO2 and Super. If you are interested, please reach out to me (zhouhy@umich.edu)!

Research Interests

Online Learning and Adaption for Control
Multi-Robot Coordination

Education

August 2021 - Present, Ph.D. in Aerospace Engineering, University of Michigan, Ann Arbor (UMich).
August 2024 - May 2025, M.Sc. in Robotics, University of Michigan, Ann Arbor (UMich).
August 2018 - June 2020, M.Sc. in Marine Technology, Norwegian University of Science and Technology (NTNU).
September 2014 - June 2018, B.Eng. in Naval Architecture & Ocean Engineering, Huazhong University of Science and Technology (HUST).

Expertise & Skills

Control Theory: Optimal Control, Adaptive Control, Model Learning for Control
Learning & Optimization: Online Convex Optimization, Regret Optimization
Programming: Python, C++, ROS, MATLAB
Simulator: Gazebo, Simulink
Optimization Solver: Casadi, Acados, CVXPY, OSQP

Publications

^* indicates equal contributions, ^† indicates alphabetical order

Journal Publications

H. Zhou^*, Xiaoyu Zhang^*, and V. Tzoumas. Adaptive Legged Locomotion via Online Learning for Model Predictive Control. IEEE Robotics and Automation Letters (RA-L).
[arXiv] [RA-L] [Code]
H. Zhou and V. Tzoumas. Simultaneous System Identification and Model Predictive Control with No Dynamic Regret. IEEE Transactions on Robotics (T-RO).
[arXiv] [T-RO] [Website] [Slides] [Code]
H. Zhou, Y. Song, and V. Tzoumas. Safe Non-Stochastic Control of Control-Affine Systems: An Online Convex Optimization Approach. IEEE Robotics and Automation Letters (RA-L).
[arXiv] [RA-L] [Slides]
Z. Xu, H. Zhou, and V. Tzoumas. Online Submodular Coordination with Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination. IEEE Robotics and Automation Letters (RA-L).
[arXiv] [RA-L] [Slides] [Code]
H. Zhou, Z. Ren, M. Marley, and R. Skjetne. A Guidance and Maneuvering Control System Design with Anti-Collision Using Stream Functions with Vortex Flows for Autonomous Marine Vessels. IEEE Transactions on Control Systems Technology (T-CST).
[arXiv] [T-CST]
Z. Ren, H. Zhou, B. Li, Z. Hu, M. Yu, and W. Shi. Locolization and Topological Observability Analysis of a Moored Floating Structure Using Mooring Line Tension Measurements. Ocean Engineering.
[Ocean Engineering]

Conference Publications

H. Zhou and V. Tzoumas. No-Regret Model Predictive Control with Online Learning of Koopman Operators. 2025 American Control Conference (ACC).
[arXiv] [Slides]
H. Zhou and V. Tzoumas. Safe Non-Stochastic Control of Linear Dynamical Systems. 2023 IEEE Conference on Decision and Control (CDC).
[arXiv] [Slides] [Code]
H. Zhou, Z. Xu, and V. Tzoumas. Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control. 2023 IEEE Conference on Decision and Control (CDC).
[arXiv] [Slides] [Code]
H. Zhou and V. Tzoumas. Safe Control of Partially-Observed Linear Time-Varying Systems with Minimal Worst-Case Dynamic Regret. 2023 IEEE Conference on Decision and Control (CDC).
[arXiv] [Slides] [Code]
R. Zhou, H. Zhou, H. Gao, M. Tomizuka, J. Li, Z. Xu. Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Forecasting. 2022 IEEE International Conference on Robotics and Automation (ICRA).
[arXiv] [Slides] [Poster]
H. Zhou and C. Liu. Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control. 2021 IEEE International Conference on Robotics and Automation (ICRA).
[arXiv] [Presentation] [Slides] [Code]
X. Zhou, J. Zhu, H. Zhou, C. Xu, and F. Gao. EGO-Swarm: A Fully Autonomous and Decentralized Quadrotor Swarm System in Cluttered Environments. 2021 IEEE International Conference on Robotics and Automation (ICRA).
[arXiv] [Video] [Science News]
H. Zhou, H. Liu, Z. Zhang, X. Wang, and D. Feng. Numerical Study of the Wake behind an Inclined Prolate Spheroid at RE=10000 Using LES. 37th International Conference on Ocean, Offshore and Arctic Engineeringvol. 51272. American Society of Mechanical Engineers, 2018, p. V07BT06A040.

Workshop Publications

I. Bao^†, J. Díaz Peón González Pacheco^†, A. Navsalkar^†, A. Scheffer^†, S. Shankar^†, A. Zhao^†, H. Zhou^†, and V. Tzoumas. Morph-EUS: Morphable OmnidirEctional Unmanned System. Workshop on Open Challenges in Robotics for Asset Inspection and Management, 2025 IEEE International Conference on Robotics and Automation (ICRA).
[arXiv] [Website] [Media]

Professional Services

Reviewer

Journal: T-RO, RA-L, L-CSS
Conference: ICRA, IROS, CDC, ACC, L4DC, CCTA

Volunteer

L4DC 2025
IROS 2023
MOM 2023

Teaching

Graduate Student Instructor: AEROSP 567 Inference, Estimation, and Learning, Fall 2024, UMich
Graduate Student Instructor: AEROSP 584 Avionics, Navigation and Guidance of Aerospace Vehicles, Fall 2023, UMich
Graduate Student Instructor: AEROSP 584 Avionics, Navigation and Guidance of Aerospace Vehicles, Fall 2021, UMich

Honors & Awards

2025, Rackham Predoctoral Fellowship, UMich
2017, National Scholarship, HUST
2017, First Prize of 5th National Marine Vehicle Design and Manufacturing Contest, China
2016, Outstanding Undergraduates in Term of Academic Performance (the greatest honor for undergraduates), HUST
2016 & 2017, Merit Student, HUST
2015, Excellent Student in Terms of Academic Performance, HUST

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