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About

Weixi Wang is a robotics and manufacturing engineer whose research sits at the intersection of computer vision, automation, and advanced welding technologies. With a focus on plasma arc welding systems, Wang has made significant contributions to the development of intelligent robotic welding processes, particularly in the areas of real-time visual sensing, weld line tracking, and keyhole monitoring. His early work, including image processing methods for automatic weld line tracking and CCD camera-based height control in robotic plasma welding, established foundational techniques for automating high-precision welding in demanding industries such as aviation and automotive manufacturing, collectively attracting over 30 citations. More recently, Wang has pushed the boundaries of deep learning applications in welding, employing U-Net architectures for weld pool boundary detection and seam tracking in plasma arc systems. Beyond welding, his research portfolio reveals a broader interest in robotic locomotion, as demonstrated by his innovative BiDSpoke leg-wheel robot featuring bidirectionally transformable spoke wheels for enhanced climbing performance. Wang's work consistently targets practical industrial challenges, bridging the gap between advanced sensing technologies and real-world manufacturing automation.