Shaojie Xin
Papers
1
Total Citations
1
H-Index
1
About
Shaojie Xin is a researcher specializing in underwater robotics and intelligent control systems, with a particular focus on remotely operated vehicles (ROVs). His work centers on advancing motion control methodologies to enhance the stability and responsiveness of underwater robots in complex aquatic environments. Xin’s most notable contribution is his development of a PSO optimization-based series-level fuzzy PID control method for ROV fixed-depth control, published in 2023. This approach addresses critical limitations of traditional PID controllers—such as prolonged adjustment times and poor robustness—by integrating particle swarm optimization with fuzzy logic to dynamically tune control parameters. The research, grounded in rigorous kinematic and dynamic analysis of six-degree-of-freedom ROVs, has garnered early citations, signaling its relevance to ongoing efforts in autonomous underwater navigation. Xin’s work is particularly impactful for applications in ocean exploration, underwater infrastructure inspection, and environmental monitoring, where precise depth control is essential. His innovative fusion of optimization algorithms and adaptive control strategies positions him as an emerging contributor to the field of marine robotics, with potential for significant influence on next-generation underwater vehicle design.
Research Focus
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Top Papers
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