Shuangyin Liu

Zhongkai University of Agriculture and Engineering

Papers

Total Citations

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About

Shuangyin Liu is a researcher whose work bridges computer vision, robotics, and marine engineering. His primary research areas include underwater image enhancement, intelligent control systems, and flexible robotic manipulators. Liu’s most impactful contribution is his pioneering work on multi-scale enhancement fusion for underwater sea cucumber images, which models human visual system characteristics to dramatically improve image clarity in challenging aquatic environments. This 2020 paper has garnered 36 citations, reflecting its practical significance for marine resource detection and autonomous underwater operations. In parallel, Liu has advanced the field of flexible robotics through his 2022 study on vibration and position tracking control for Timoshenko robot arms. This work introduces a novel boundary disturbance rejection mechanism that simultaneously addresses external perturbations, system vibration, and elastic deformation—a critical challenge for precision control in flexible structures. By integrating disturbance rejection with desired angle tracking, Liu’s approach offers a robust solution for industrial robotic arms requiring both flexibility and accuracy. His research demonstrates a unique ability to apply theoretical control methods to real-world engineering problems, making notable contributions to both marine robotics and intelligent manufacturing systems.