Hongyu Zhou   



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, with applications to control with safety and outlier-resillient perception for autonomous vehicles.

Research Interests



Journal Publications
  1. H. Zhou and V. Tzoumas. Safe Perception-Based Control with Minimal Worst-Case Dynamic Regret.
  2. 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).
  3. 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 (TCST).
    [arXiv] [IEEE TCST]
  4. 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, Z. Xu, and V. Tzoumas. Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control.
  2. 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]
  3. 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]
  4. 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]
  5. 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.


University of Michigan, Ann Arbor

Honors & Awards