Zhousu Li
Papers
1
Total Citations
4
H-Index
1
About
Zhousu Li is a researcher in robotics and autonomous systems, with a primary focus on motion planning for mobile robots operating in complex environments. His work addresses the challenge of navigating robots through spaces with obstacles by generating trajectories that belong to different homotopic classes—paths that cannot be continuously deformed into one another without intersecting obstacles. Li's key contribution is the development of an online motion planning approach that uses a sparse roadmap to efficiently compute and select among these distinct homotopic classes, enabling robots to adapt their routes in real time. This method is particularly valuable for applications like warehouse automation, search-and-rescue, and autonomous driving, where flexibility and obstacle avoidance are critical. His most-cited paper, "An Online Motion Planning Approach of Mobile Robots in Distinctive Homotopic Classes by a Sparse Roadmap" (2019), has garnered 4 citations, reflecting its niche but growing influence in the field. Li's work bridges theoretical graph-based planning with practical robotic deployment, offering a computationally efficient solution for dynamic environments. His research continues to inspire advances in real-time path planning, making him a notable contributor to the robotics community.
Research Focus
Key Achievements
Top Papers
- 1