Zhichuan Yan

Papers

Total Citations

H-Index

About

Zhichuan Yan is a researcher specializing in industrial robotics, visual servo control, and intelligent manufacturing systems. His work focuses on bridging the gap between computer vision and robotic motion control, enabling more precise and adaptive automation in industrial settings. His most cited paper, "Experiment system design of visual servo motion control for industrial robot" (2024), presents a comprehensive prototype platform integrating an industrial robot, vision system, and workbench, with detailed hardware and software design. This contribution lays critical groundwork for advancing real-time, vision-guided robotic manipulation. Although early in his citation impact, Yan’s systematic approach to experimental system design is foundational for researchers and engineers developing next-generation autonomous manufacturing solutions. His work underscores the importance of integrated prototyping in robotics, offering a replicable framework for visual servo control experiments. Yan’s research is particularly relevant for students and practitioners aiming to implement vision-based feedback in robotic systems, and his contributions are poised to influence future developments in smart factory automation and human-robot collaboration.