Xiaoyong Zhang

Papers

Total Citations

H-Index

About

Xiaoyong Zhang is a robotics researcher whose work focuses on vision-based motion control for autonomous mobile robots. His key research areas include visual servoing, depth perception, and constrained motion planning. Zhang’s most notable contribution is his 2017 paper on “3D depth map based optimal motion control for wheeled mobile robot,” which introduced a novel approach to robotic motion control using depth information from RGB-D cameras. This work addressed the critical challenge of maintaining the field of view (FOV) constraint during visual servoing tasks, enabling more reliable and precise robot navigation in complex environments. By leveraging 3D depth maps rather than traditional 2D image features, Zhang’s method improved the robustness of vision-based control systems. His research has practical implications for autonomous robotics, particularly in applications requiring real-time obstacle avoidance and target tracking. With 3 citations, this paper has laid groundwork for further developments in depth-aware robotic control. Zhang’s work contributes to the broader field of intelligent robotics, where integrating advanced sensing and control algorithms is essential for creating more capable and autonomous systems.