Gui Lin Yang

Ningbo Institute of Industrial Technology

Papers

Total Citations

H-Index

About

Gui Lin Yang is a researcher specializing in robotics, automation, and 3D computer vision, with a particular focus on intelligent manipulation systems for industrial applications. Their most-cited work, "Using 3D Matching for Picking and Placing on UR Robot" (2017, 5 citations), introduces a novel approach that leverages shape-based 3D matching technology to overcome the limitations of conventional industrial robot programming. This method enables robots to perform pick-and-place tasks in less controlled environments, reducing the need for tedious manual programming and simplifying operations in cluttered settings. Yang’s contribution addresses a critical bottleneck in robotics—making automation more flexible and accessible for real-world manufacturing. While their citation count is modest, the work demonstrates a practical, applied impact in advancing robot perception and dexterity. Yang’s research is particularly relevant for students and engineers interested in bridging computer vision with robotic manipulation, offering a foundation for developing more adaptive and intelligent automation systems.