Shaoyang Hu

Papers

Total Citations

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About

Shaoyang Hu is a researcher focused on advancing intelligent robotic welding through real-time trajectory recognition and control. His primary research areas include computer vision, structured light sensing, and automated welding systems. Hu's major contribution lies in developing robust image processing algorithms that enable robots to track welding seams in real time, significantly reducing manual teaching time while maintaining high precision for customized product manufacturing. His most-cited work, "Research on Trajectory Recognition and Control Technology of Real-Time Tracking Welding" (2022), has accumulated 12 citations, demonstrating its relevance in the field of industrial automation. This research addresses a critical challenge: the lack of robustness in conventional image processing during dynamic welding environments. By integrating structured light vision, Hu's approach enhances the adaptability and accuracy of robotic welding, making it more viable for small-batch, user-customized production. His work is particularly notable for its potential to bridge the gap between traditional manual welding and fully autonomous systems, offering practical solutions for smart manufacturing. Hu's contributions continue to influence the development of more reliable and efficient welding automation technologies.