Yuxia Sun

Zhejiang University, Zhejiang Ocean University

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About

Dr. Yuxia Sun is a leading researcher in underwater robotics and intelligent control systems, with a primary focus on the precise maneuvering of autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs). Her most influential work, "Research on fuzzy control of path tracking for underwater vehicle based on genetic algorithm optimization" (2018), has garnered 87 citations, establishing her as a key contributor to the field. In this seminal paper, Dr. Sun pioneered a novel approach that integrates fuzzy logic control with genetic algorithm optimization to dramatically enhance the accuracy and robustness of underwater vehicle path tracking in complex, nonlinear environments. Her subsequent research on "Path-following control of remotely operated vehicle based on improved hybrid fuzzy PID control" (2017) further advanced the field by developing a sophisticated hybrid controller that combines the strengths of fuzzy logic and PID control for superior 2D path-following performance. Dr. Sun's work is particularly notable for its practical applications in deep-sea exploration, underwater pipeline inspection, and marine resource surveying, where precise vehicle control is critical. Her innovative fusion of computational intelligence with traditional control theory continues to inspire new generations of researchers working on autonomous underwater systems.