Xinhua Tang

Shanghai University of Engineering Science

Papers

Total Citations

H-Index

About

Xinhua Tang is a leading figure in intelligent manufacturing and robotic welding, with a career dedicated to advancing automation in industrial processes. His most impactful work, "A visual seam tracking system for robotic arc welding" (2007), has garnered 90 citations, establishing a foundational method for real-time, vision-guided welding that enhances precision and adaptability in automated fabrication. Tang’s primary research areas encompass robotic control, computer vision for manufacturing, and sensor fusion, where he has pioneered techniques to integrate visual feedback into welding systems, enabling robots to dynamically correct for joint variations. This contribution has significantly improved weld quality and efficiency in industries like automotive and shipbuilding. Beyond this landmark paper, Tang’s broader portfolio explores intelligent sensing and adaptive control, reflecting his commitment to bridging theoretical robotics with practical manufacturing challenges. His work is widely cited by engineers and researchers developing next-generation autonomous welding platforms, underscoring his role as a key innovator in smart manufacturing.