Shilong Zhao
Papers
1
Total Citations
1
H-Index
1
About
Shilong Zhao is a researcher whose work centers on advanced control systems for marine robotics, particularly focusing on cable-driven parallel mechanisms and their applications in precision underwater tasks. His most-cited paper, "Fuzzy second-order integral terminal adaptive sliding mode control for marine cable-driven parallel grinding robot" (2025), introduces a novel control strategy that integrates fuzzy logic with adaptive sliding mode techniques to enhance the stability and precision of cable-driven robots operating in challenging marine environments. This contribution addresses critical challenges in underwater manipulation, such as disturbances from currents and cable flexibility, offering a robust solution for tasks like grinding and maintenance on submerged structures. While his citation count is currently modest, with one citation for this key work, the paper represents a significant step forward in the field of marine robotics and adaptive control. Zhao’s research is particularly relevant for students and engineers interested in the intersection of nonlinear control theory, fuzzy systems, and practical robotic applications in harsh environments, showcasing how theoretical advancements can directly improve real-world robotic performance.
Research Focus
Key Achievements
Top Papers
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