Papers
1
Total Citations
2
H-Index
1
About
Huli Niu is a researcher focused on intelligent manufacturing and robotic welding process control, with a particular emphasis on real-time quality monitoring in arc welding. Their most-cited work, "Research on Quality Control of Arc Welding Robot Based on Molten Pool Contour Extraction" (2019), addresses a critical challenge in automated welding: the impact of uncertainties on weld quality. Niu proposed a multi-information fusion detection method that enhances the reliability of robotic welding by extracting geometric features from molten pool images. To improve image clarity under harsh welding conditions, they introduced an adaptive Wiener filtering algorithm, significantly advancing visual sensing in welding environments. Though early in their career, with 2 citations on their leading paper, Niu’s contributions are foundational for integrating computer vision and signal processing into industrial robotics. Their work supports the development of smarter, more autonomous welding systems, reducing defects and increasing efficiency in manufacturing. Niu’s research is particularly valuable for students and engineers exploring sensor fusion, real-time process control, and the application of machine vision in automated production lines.
Research Focus
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Top Papers
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