Guangxu Qin
Papers
1
Total Citations
70
H-Index
1
About
Guangxu Qin is a leading researcher in intelligent robotics and autonomous navigation systems, with a particular focus on path-planning algorithms for mobile robots. His most influential work, "Particle Swarm Algorithm Path-Planning Method for Mobile Robots Based on Artificial Potential Fields" (2023), has garnered 70 citations, reflecting its significant impact on the field. In this study, Qin addresses a critical challenge in robotics: enabling autonomous and intelligent navigation by optimizing path planning. He innovatively combines particle swarm optimization (PSO) with artificial potential fields, overcoming the limitations of traditional PSO methods that often suffer from local optima and inefficient trajectories. This hybrid approach enhances both the safety and efficiency of robot movement in complex environments, offering a robust solution for real-world applications such as warehouse logistics and autonomous vehicles. Qin’s work bridges theoretical algorithm development with practical robotics, making him a notable contributor to the advancement of intelligent control systems. His research continues to inspire further innovations in mobile robot autonomy and swarm intelligence.
Research Focus
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Top Papers
- 1