Zhengdong Xu

Shandong Institute of Automation, Institute of Automation

Papers

Total Citations

H-Index

About

Zhengdong Xu is a robotics researcher specializing in vision-based guidance systems and real-time measurement technologies for industrial automation. His work focuses on three key areas: high-speed robot vision processing, autonomous guided vehicle (AGV) navigation, and precision measurement for painting robots. In his most cited work (2011, 12 citations), Xu developed a FPGA and DSP-based robot vision system with GigE Vision extension, significantly boosting image processing speed for robotics applications. His 2012 paper (10 citations) introduced a vision-based guidance method for AGVs that uses camera-captured environmental images to extract road parameters, eliminating the need for physical tape or markers. Xu also designed a real-time position and posture measurement device for painting robots (2011, 3 citations), combining a camera with three spot lasers to maintain precise spray nozzle positioning relative to the painting surface. His contributions advance practical industrial robotics by enabling faster, more accurate, and more flexible automation systems. Xu’s work demonstrates how embedded vision processing and sensor fusion can solve real-world manufacturing challenges, making him a notable contributor to the field of intelligent robotics and automation.