Zuyi Guo

Hi there! I am currently a Master student at Cho Chun Shik Graduate School of Mobility, KAIST, advised by Prof. Heye Huang . I received my bachelor’s degree from the College of Electrical Engineering at Zhejiang University, where I was fortunate to be advised by Prof. Ronghao Zheng, and I joined Robotics and Autonomy Research Lab leb by Prof. Mengxue Hou at University of Notre Dame as a summer research intern in 2025.

My vision is to build intelligent agents that can perceive the world and make safe decisions. I am generally interested in trustworthy autonomous driving and LLM-driven agents.

I am also actively open to research discussions and industry connections! Feel free to email me if you are interested in collaborating!

news

Aug 17, 2026	🎉 XMind receives Best Poster Award at the IEEE CASE 2026！
Jan 22, 2026	🎉 One paper has been accepted by ACC 2026, congratulations！

selected publications

A Generalized Voronoi Graph based Coverage Control Approach for Non-Convex Environment

Zuyi Guo, Ronghao Zheng, Meiqin Liu, and Senlin Zhang

In 2026 American Control Conference (ACC), 2026

Abs arXiv

To address the challenge of efficient coverage by multi-robot systems in non-convex regions with multiple obstacles, this paper proposes a coverage control method based on the Generalized Voronoi Graph (GVG), which has two phases: Load-Balancing Algorithm phase and Collaborative Coverage phase. In Load-Balancing Algorithm phase, the non-convex region is partitioned into multiple sub-regions based on GVG. Besides, a weighted load-balancing algorithm is developed, which considers the quality differences among sub-regions. By iteratively optimizing the robot allocation ratio, the number of robots in each sub-region is matched with the sub-region quality to achieve load balance. In Collaborative Coverage phase, each robot is controlled by a new controller to effectively coverage the region. The convergence of the method is proved and its performance is evaluated through simulations.