Zhaoqing Li
Papers
1
Total Citations
2
H-Index
1
About
Zhaoqing Li is a rising researcher in autonomous maritime systems, with a focus on optimal path planning and control for unmanned surface vehicles (USVs). His work addresses critical challenges in real-time trajectory optimization under complex constraints, particularly through the development of quality-guaranteed Dubins path planning methods. Li’s most-cited paper introduces a novel mixed-integer piecewise-linear programming approach to solve the extended minimum-time intercept problem, enabling USVs to efficiently and reliably navigate dynamic environments while ensuring path quality and safety. This contribution has already garnered attention, with 2 citations since its 2025 publication, signaling early impact in the field. Li’s research bridges theoretical optimization with practical maritime applications, offering robust solutions for time-critical missions such as interception, surveillance, and search-and-rescue operations. His work is particularly notable for integrating piecewise-linear approximations with integer programming, a technique that enhances computational tractability without sacrificing solution guarantees. As a young researcher, Zhaoqing Li is establishing a strong foundation in autonomous navigation, with his methods poised to influence future developments in marine robotics and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1