Yang Lv
Papers
1
Total Citations
1
H-Index
1
About
Yang Lv is a researcher at the forefront of intelligent manufacturing, specializing in the integration of deep learning and computer vision for industrial automation. His primary research areas include multi-scale feature fusion, visual perception for robotic systems, and precision welding quality control. Lv’s most notable contribution is his pioneering work on applying deep learning-based multi-scale feature fusion to the visual systems of precision welding robots, addressing critical challenges such as complex lighting variations, metal spatter, torch occlusion, and the detection of multi-scale defect characteristics. This work, published in 2025, has already garnered early citations, signaling its growing influence in high-end equipment manufacturing and aerospace industries where welding reliability is paramount. By enabling robots to perceive and adapt to harsh, dynamic environments with greater accuracy, Lv’s research directly enhances product reliability and manufacturing efficiency. His approach represents a significant step toward fully autonomous, adaptive robotic welding systems, making him a key contributor to the next generation of smart factories.
Research Focus
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Top Papers
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