Zhuzhen He
Papers
2
Total Citations
10
H-Index
2
About
Zhuzhen He is a pioneering researcher in intelligent robotic welding, specializing in real-time visual sensing and semantic segmentation for automated manufacturing. His work addresses critical challenges in narrow butt joint welding, where traditional methods fail due to the difficulty of reconstructing weld contours. He developed a real-time detection and localization method based on semantic segmentation, achieving precise weld seam tracking with high robustness—a breakthrough that has garnered 7 citations since 2023. To overcome arc interference, a persistent issue where laser stripes are obscured by welding noise, He designed LSRNet, a lightweight symmetrical encoder-decoder model that efficiently recognizes laser stripes under harsh conditions. This innovation, with 3 citations, enables reliable robotic arc welding in industrial environments. He’s contributions are pivotal for advancing autonomous welding systems, reducing human error, and improving production efficiency. By fusing deep learning with structured light measurement, He is shaping the future of smart manufacturing, making his work essential reading for researchers in computer vision, robotics, and welding automation.
Research Focus
Key Achievements
Top Papers
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- 2