Jun-Jun Yang
Papers
2
Total Citations
29
H-Index
2
About
Jun-Jun Yang is a leading researcher in intelligent robotic welding systems, with a primary focus on computer vision, image processing, and automation for manufacturing. Dr. Yang’s major contributions lie in developing robust, vision-guided solutions for arc welding robots, overcoming challenges such as arc light interference and complex three-dimensional geometries. In their seminal 2016 work, “Welding seam detection and feature point extraction for robotic arc welding using laser-vision,” Yang introduced a system integrating a CCD camera, line-structured laser, and narrowband optical filter to accurately detect weld seams in real time—a foundational approach that has garnered 19 citations and influenced subsequent industrial automation research. Building on this, Yang’s “A path-planning algorithm of the automatic welding robot system for three-dimensional arc welding using image processing” (2016, 10 citations) advanced the field by developing a novel path-planning algorithm that leverages forward kinematics and image-based sensing to enable precise, autonomous welding along complex 3-D contours. These works collectively demonstrate Yang’s impact on enhancing welding quality, efficiency, and safety in manufacturing. Their research continues to drive innovation in smart robotics, bridging the gap between computer vision and industrial automation.
Research Focus
Key Achievements
Top Papers
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