Rongshen Lai
Papers
4
Total Citations
85
H-Index
3
About
Rongshen Lai is a leading researcher in intelligent robotics, with a primary focus on mobile robot path planning, fault diagnosis, and the broader development trends of autonomous systems. His most impactful work, the 2023 paper on a fusion algorithm combining the improved A* algorithm with segmented Bézier curves, has garnered 45 citations for its innovative solution to the A* algorithm’s inefficiencies—reducing search time, redundant nodes, and excessive path-turning points to achieve smoother, more optimal movement routes for real-world robots. Lai’s 2018 review on key technologies and development trends of intelligent robots, with 35 citations, serves as a foundational resource for researchers, while his 2023 exploration of deep learning-based fault diagnosis for industrial robots addresses critical challenges in efficiency and accuracy. His 2025 work on an improved artificial potential field method further demonstrates his commitment to solving persistent problems like unreachable targets and local minima. Through these contributions, Lai has significantly advanced the practicality and reliability of mobile and industrial robotics, establishing himself as a key figure in shaping the future of autonomous navigation and system health monitoring.
Research Focus
Key Achievements
Top Papers
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