Hongyu Zhou   
Hongyu

         

Welcome

I'm Hongyu Zhou. Currently, I am a Ph.D. student 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 the Huazhong University of Science and Technology (HUST), and the M.Sc. degrees in Marine Technology from the 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

Education

Publications

Journal Publications
  1. Z. Xu, H. Zhou, and V. Tzoumas. Online Submodular Coordination with Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination. submitted to IEEE Robotics and Automation Letters (RA-L).
    [arXiv]
  2. H. Zhou and V. Tzoumas. Safe Perception-Based Control with Minimal Worst-Case Dynamic Regret. submitted to IEEE Transactions on Automatic Control (TAC).
    [arXiv]
  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.
Conference Publications
  1. 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]
  2. 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]
  3. 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]
  4. 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.

Teaching

University of Michigan, Ann Arbor

Honors & Awards