Zhenxing Zhang

Papers

Total Citations

H-Index

About

Zhenxing Zhang is a robotics and control systems researcher whose work focuses on the intersection of autonomous navigation, visual perception, and advanced control theory. His most recognized contribution, "Fixed-time trajectory tracking control for nonholonomic mobile robot based on visual servoing" (2022), has garnered 41 citations within a short period, reflecting the timeliness and relevance of his research in the robotics community. This work addresses a critical challenge in mobile robotics: enabling nonholonomic systems — robots with movement constraints — to accurately follow predefined trajectories within a guaranteed, fixed time frame, regardless of initial conditions. By integrating visual servoing, a technique that uses camera feedback to guide robot motion, Zhang's approach offers a robust and practically deployable solution for real-world robotic applications. His research sits at the forefront of intelligent robot control, combining rigorous mathematical control design with computer vision methodologies. The rapid uptake of his 2022 paper suggests growing interest from both academic researchers and engineers working on autonomous mobile platforms, positioning Zhang as an emerging contributor to the field of intelligent robotic systems and control engineering.