Liying Huang

Papers

Total Citations

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About

Liying Huang is a researcher specializing in intelligent manufacturing and robotic welding systems, with a particular focus on the real-time visual perception and control of complex welding seams. Her most cited work, "The decoupling visual feature extraction of dynamic three-dimensional V-type seam for gantry welding robot" (2015, 21 citations), addresses a critical challenge in automated welding: accurately extracting and tracking the geometry of dynamic, three-dimensional V-type seams using decoupled visual features. This contribution is foundational for improving the precision and adaptability of gantry welding robots in industrial applications, where seam variations can compromise weld quality. Huang’s research integrates computer vision, robotics kinematics, and control theory to enable robust, real-time seam tracking without the need for manual recalibration. Her work has been influential in advancing the automation of heavy manufacturing processes, particularly in shipbuilding and large-scale structural fabrication. By developing methods that decouple complex visual data into manageable features, she has helped bridge the gap between laboratory algorithms and practical, high-speed industrial welding environments. Huang’s contributions continue to inform the design of smarter, more autonomous robotic systems in manufacturing.