Xihong Ma
Papers
1
Total Citations
48
H-Index
1
About
Xihong Ma is a leading researcher in intelligent robotic welding, with a focus on computer vision and real-time control systems for automated manufacturing. Their key contributions center on developing efficient, high-accuracy methods for start point guiding and seam tracking in curved weld applications—a critical challenge in industrial robotics. Ma’s most cited work, “Efficient and Accurate Start Point Guiding and Seam Tracking Method for Curve Weld Based on Structure Light” (2021, 48 citations), introduces a novel structured light approach that dramatically reduces computational load while improving tracking precision, overcoming the limitations of traditional methods plagued by high calculation costs and poor accuracy for complex weld paths. This work addresses the persistent “visual advance” problem in curved seam tracking, enabling more reliable and faster robotic welding processes. Ma’s research has significant implications for industries like automotive and aerospace manufacturing, where precise, automated welding is essential. With a growing citation impact, Ma is recognized for bridging the gap between theoretical vision algorithms and practical industrial deployment, making their work a valuable resource for students and researchers in robotics, computer vision, and intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
- 1