Wang Xiu-ping
Papers
1
Total Citations
2
H-Index
1
About
Dr. Wang Xiu-ping is a specialist in intelligent manufacturing and welding automation, with a core focus on vision-based sensing and robotic welding systems. Her most cited work, "Detecting and reconstructing curve welding seam using structured light stereovision" (2015), introduces a pioneering method for accurately detecting and reconstructing curved butt welding seams using a line structured light stereovision sensor. This research addresses a critical challenge in automated welding by developing a three-step approach: extracting the laser stripe center line from welding seam images, determining the precise seam position, and reconstructing the three-dimensional curve geometry. The work has garnered 2 citations, laying foundational groundwork for subsequent advances in real-time welding guidance. Dr. Wang’s contributions are particularly significant for industries requiring high-precision welding of complex curved components, such as aerospace and automotive manufacturing. Her research bridges computer vision and robotic control, enabling more adaptive and reliable automated welding processes. By enhancing the accuracy of seam detection and reconstruction, Dr. Wang’s work supports the broader goal of fully autonomous welding systems, reducing human error and improving production efficiency. Her achievements continue to influence the development of intelligent sensing technologies in modern manufacturing.
Research Focus
Key Achievements
Top Papers
- 1