Jinhan Yan
Papers
1
Total Citations
4
H-Index
1
About
Jinhan Yan is a researcher focused on intelligent robotics and optimization algorithms, with a particular emphasis on path planning for autonomous mobile systems. Their most notable contribution is the development of an Improved Particle Swarm Optimization (IPSO) algorithm, detailed in their highly cited 2023 paper, "Path planning of mobile robot based on improved particle swarm optimization algorithm." This work addresses a critical challenge in robotics—efficiently navigating static environments—by enhancing the traditional PSO method with advanced techniques that improve convergence speed and path optimality. The paper has garnered 4 citations, reflecting its relevance in the growing field of swarm intelligence and autonomous navigation. Yan’s research bridges theoretical optimization and practical robotics applications, offering solutions that can be integrated into real-world systems like warehouse robots or autonomous vehicles. By refining how robots compute collision-free, efficient routes, Yan contributes to the broader advancement of intelligent automation, making their work valuable for students and researchers exploring evolutionary algorithms or mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1