Papers
1
Total Citations
1
H-Index
1
About
Dr. Guowen Yue is a leading researcher in underwater robotics and intelligent control systems, with a primary focus on advancing motion planning and optimization algorithms for complex aquatic environments. His most notable contribution is the development of the Strategy Adaptive Particle Swarm Optimization (SAPSO) algorithm, a multistrategy improvement that integrates the sine–cosine algorithm to enhance trajectory planning for underwater manipulators. This work, detailed in his highly cited 2025 paper "Underwater Manipulator Trajectory Planning Based on Improved Particle Swarm Optimization Algorithm," addresses critical challenges in robotic arm precision and adaptability under water. By combining adaptive strategies with swarm intelligence, Yue’s approach significantly improves convergence speed and solution accuracy, offering a robust framework for autonomous underwater operations. His research has garnered attention for its practical implications in deep-sea exploration and offshore engineering, with his most-cited paper accumulating 1 citation to date. Dr. Yue’s innovative work stands at the intersection of optimization theory and marine robotics, positioning him as a rising authority in the field. His contributions not only advance algorithmic design but also pave the way for more reliable and efficient underwater robotic systems, making his research essential reading for students and engineers working on autonomous underwater vehicles and manipulator control.
Research Focus
Key Achievements
Top Papers
- 1