Wen Shuai Cui
Papers
2
Total Citations
35
H-Index
2
About
Wen Shuai Cui is a researcher whose work centers on intelligent control systems and mobile robot path planning, with a particular focus on overcoming the limitations of classical algorithms. His most influential contribution is the development of an improved artificial potential field method, which addresses the critical problem of local minima that often traps traditional path planning algorithms. This work, published in 2014 and garnering 30 citations, proposes a modified repulsion function that enables robots to navigate complex environments more reliably. Cui further advances this field by integrating fuzzy logic and adaptive PID control, demonstrating how hybrid control strategies can enhance a mobile robot’s ability to perceive its surroundings and respond dynamically to obstacles. His 2015 paper on fuzzy and fuzzy-adaptive PID controllers explores sensor-based environmental detection to guide autonomous navigation. Through these contributions, Cui has helped bridge the gap between theoretical control methods and practical robotic applications, offering solutions that improve both the efficiency and safety of autonomous movement. His research remains valuable for engineers and students working on real-time navigation systems in uncertain environments.
Research Focus
Key Achievements
Top Papers
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