Peipei Guo
Papers
1
Total Citations
2
H-Index
1
About
Peipei Guo is a researcher whose work centers on advancing robotic automation through computer vision and precise positioning technologies. Her key research areas include visual location methods for industrial robotics, automated welding systems, and 3D sensing integration. Guo’s major contribution lies in developing the CirLoc3D visual location method, which enhances the accuracy and reliability of robot tube plate welding systems. By employing a point laser sensor to measure photo height and using three reference points to correct camera posture, her approach enables more precise image extraction and positioning in complex industrial environments. This innovation addresses critical challenges in automated manufacturing, particularly for tasks requiring high precision. Though her most-cited paper has garnered 2 citations, the practical significance of her work is evident in its direct application to improving robotic welding efficiency and quality control. Guo’s research bridges the gap between computer vision theory and real-world industrial automation, offering valuable solutions for smart manufacturing. Her contributions are particularly relevant for researchers and engineers working on robotic perception systems, sensor fusion, and automated production line optimization.
Research Focus
Key Achievements
Top Papers
- 1