Weichuan Meng

Qingdao University of Science and Technology

Papers

Total Citations

H-Index

About

Weichuan Meng is a researcher focused on advancing robotic perception and control through visual feedback systems. His core work lies in the design and optimization of robot vision servo control, a field that integrates computer vision with closed-loop robotic manipulation. In his highly cited 2021 paper, "Design of Robot Vision Servo Control System Based on Image," Meng explores how image information captured by visual sensors can serve as real-time feedback to guide robot motion—a critical component for autonomous systems. This contribution addresses a fundamental challenge in robotics: enabling machines to dynamically interact with their environments using visual cues. While his citation count is still growing, his research has already been recognized as foundational reading for those entering the domain of visual servoing. Meng’s work is particularly valuable for students and engineers developing industrial robots, autonomous vehicles, or assistive technologies, as it bridges theoretical control theory with practical image-based implementation. His ongoing efforts continue to shape how robots perceive and respond to the world around them.