Hongyu Zhou   
Hongyu

         

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 . 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 . I was a research intern at , advised by . I also remotely worked with and on socially-aware navigation for mobile robots and group-aware dense crowd forecasting at .

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

My research has been mainly applied but not limited to quadrotors, including (e.g., drag, ground effects, and wind diturbances), , and .

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Publications

* indicates equal contributions, indicates alphabetical order

Journal Publications
  1. H. Zhou and V. Tzoumas. Simultaneous System Identification and Model Predictive Control with No Dynamic Regret. IEEE Transactions on Robotics (T-RO).
    [arXiv] [Slides (key)] [Slides (pdf)] [Code]
  2. 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]
  3. 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]
  4. 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]
  5. 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
  1. H. Zhou and V. Tzoumas. No-Regret Model Predictive Control with Online Learning of Koopman Operators. 2025 American Control Conference (ACC)
    [arXiv] [Slides (key)] [Slides (pdf)]
  2. H. Zhou and V. Tzoumas. Safe Non-Stochastic Control of Linear Dynamical Systems. 2023 IEEE Conference on Decision and Control (CDC)
    [arXiv] [Slides] [Code]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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
  1. 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).
    [Website]

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