Weizhong Chen

Papers

1

Total Citations

2

H-Index

1

About

Dr. Weizhong Chen is a robotics and automation researcher whose work bridges computer vision and industrial welding systems. His key research areas include visual localization methods, robotic welding automation, and sensor-based manufacturing precision. His most notable contribution is the development of the CirLoc3D visual location method for robot automatic tube plate welding systems, as detailed in his 2018 paper. This innovative approach uses a point laser sensor to measure photo height and employs a three-point calibration technique to correct camera posture, enabling precise image extraction for welding guidance. While his citation count stands at 2, the practical significance of his work lies in advancing automated welding accuracy in industrial settings, reducing human error in tube plate welding tasks. Dr. Chen’s research represents a valuable step toward integrating 3D vision systems with robotic manipulators for high-precision manufacturing applications, offering a foundation for future developments in intelligent welding automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
CirLoc3D-Visual Location Method for Robot Automatic Tube Plate Welding System
2 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago