Guorui Yan

Papers

Total Citations

105

H-Index

About

Guorui Yan is a specialist in computer vision and precision measurement systems for robotic manufacturing, with a particular focus on advancing automation in aerospace assembly and drilling operations. His research addresses one of the most critical challenges in modern aerospace manufacturing: achieving the exceptionally high positioning accuracy required for robotic drilling systems. Yan's most influential work, "Measurement Error Analysis and Accuracy Enhancement of 2D Vision System for Robotic Drilling" (2013), has garnered 73 citations and established foundational methods for identifying and compensating for systematic errors in vision-based robotic guidance. Building on this, his 2014 contributions introduced a novel elliptic contour extraction method for reference hole detection, further refining the precision of automated drilling workflows and accumulating 27 citations. His development of a practical monocular vision system demonstrated that cost-effective, single-camera configurations could reliably measure relative positional errors in real manufacturing environments, making high-accuracy robotic drilling more accessible. Collectively, Yan's work has meaningfully shaped how vision systems are designed, calibrated, and deployed in intelligent manufacturing contexts, offering both theoretical rigor and practical engineering solutions that continue to influence researchers and practitioners in robotics and aerospace automation.