Ruiying Zhang

Beijing Institute of Petrochemical Technology

Papers

Total Citations

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About

Ruiying Zhang is a leading researcher in intelligent robotic welding systems, specializing in vision-guided automation and mobile welding solutions for challenging environments. Her most impactful work, "A guidance system for robotic welding based on an improved YOLOv5 algorithm with a RealSense depth camera" (2023, 18 citations), addresses a critical bottleneck in autonomous welding: the reliance on manual intervention for initial robot positioning. By integrating deep learning with depth-sensing technology, Zhang’s system enables robots to autonomously detect and approach weld seams, significantly enhancing productivity and reducing human error. This contribution is pivotal for advancing Industry 4.0 manufacturing. She has also pioneered research on mobile welding robots for extreme conditions, as seen in her reviews and experimental studies on expandable convoluted pipes (2025), tackling the unique challenges of confined spaces and irregular geometries in pipelines and bridges—tasks traditionally performed manually. Zhang’s work bridges computer vision, robotics, and welding engineering, offering practical solutions for unstructured field operations. Her achievements underscore a commitment to making welding automation safer, more efficient, and adaptable to real-world industrial demands.