Yong Zou

Beijing Institute of Petrochemical Technology, Beihang University

Papers

Total Citations

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About

Dr. Yong Zou is a leading researcher in intelligent welding and robotic automation, with a primary focus on vision-based seam tracking and process control. His work addresses critical challenges in automated welding, particularly for complex geometries and real-time quality assurance. Dr. Zou’s most influential contribution is his development of a welding deviation detection algorithm based on the extremum of molten pool image contours (15 citations), which enables precise, real-time correction of robot trajectories during welding. He also pioneered a passive-light-vision weld pool image processing algorithm (11 citations) that uses a CCD camera with a narrowband filter to capture clear images of Gas Metal Arc Welding pools, applying median filtering and wavelet transforms for robust feature extraction. Additionally, his research on constant speed control for complex cross-section welding (8 citations) introduced an angle self-test method to maintain consistent weld quality on non-linear paths. With over 30 combined citations, Dr. Zou’s work has significantly advanced the precision and autonomy of welding robots, offering practical solutions for industries requiring high-quality, automated fabrication. His algorithms are foundational for next-generation smart manufacturing systems.