Yangsheng Wang

Brunel University of London, Huazhong University of Science and Technology

Papers

Total Citations

H-Index

About

Yangsheng Wang’s research career is rooted in the early, foundational challenges of robotic perception and industrial automation. His primary contributions lie in the domains of 3D object recognition, range data processing, and one-dimensional signal segmentation, all applied to critical manufacturing tasks such as robot arc welding. Wang’s most cited work, “Recognition and localization of a cubically modular part with laser-stripe-based range data” (1993), demonstrates his pioneering approach to using structured light for precise part identification and positioning—a key capability for flexible manufacturing systems. His earlier, highly influential paper, “A new method of segmenting one-dimensional signals” (1989), introduced a novel technique for decomposing signals into meaningful features—lines, curves, holes, discontinuities, and corners—specifically tailored to the demands of robotic welding. This work established a set of rigorous requirements for segmentation that directly addressed real-world industrial needs. While his citation counts (3 and 2, respectively) reflect the specialized and early-stage nature of his field, Wang’s research provided crucial building blocks for later advances in automated inspection and robotic guidance, marking him as a quiet but significant contributor to the practical integration of computer vision in manufacturing.