Papers
7
Total Citations
98
H-Index
5
About
Chung-Hsun Sun is a leading researcher in multi-robot navigation, path planning, and intelligent control systems, with a particular focus on collision-free coordination in dynamic environments. His most impactful contribution is the development of the Navigation Strategy with Path Priority (NSPP) and the Priority Order Navigation Algorithm (PONA), both based on Generalized Voronoi Diagrams. These strategies enable multiple robots to navigate large spaces efficiently while avoiding static and dynamic obstacles, with his seminal 2021 paper on NSPP accumulating 43 citations. Sun has also made significant advances in fuzzy-model-based control for wheeled mobile robots, integrating visual odometry and laser-range-finder localization to enhance autonomous navigation. His work extends to monocular vision systems, where he has developed algorithms for moving object detection and improved data association in robot SLAM, achieving 9 and 4 citations respectively. With a career spanning over a decade, Sun’s research bridges theoretical control design and practical robotic applications, offering scalable solutions for multi-agent systems. His achievements are particularly valuable for students and researchers in robotics, autonomous systems, and intelligent transportation, providing foundational tools for real-world multi-robot coordination.
Research Focus
Key Achievements
Top Papers
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- 5Laser-range-finder localization based fuzzy control for mobile robots7 citations · 2017
- 6Design of T-S fuzzy controller for two-wheeled mobile robot5 citations · 2011
- 7Improving Data Association in Robot SLAM with Monocular Vision4 citations · 2011