Huang Minshuang

Beijing Institute of Petrochemical Technology

Papers

Total Citations

H-Index

About

Huang Minshuang is a researcher specializing in robotic welding automation and laser vision sensing technologies. Their most impactful work centers on the development of intelligent welding systems for industrial applications, particularly in pipe welding. Huang’s seminal 2008 study on a pipe welding robot using laser vision sensing introduced a novel method for real-time groove recognition and tracking. By employing a single laser visual sensor, the system simultaneously captures two-dimensional groove data, enabling the robot to autonomously memorize weld path information during the first layer of welding—effectively combining real-time tracking with automated teaching. This innovation significantly reduces manual programming and enhances precision in complex pipe welding tasks. With 9 citations, this work has influenced subsequent research in robotic welding and sensor-guided automation. Huang’s contributions are notable for bridging the gap between theoretical sensing algorithms and practical industrial robotics, offering a cost-effective solution for improving weld quality and efficiency. Their research remains relevant for engineers and researchers seeking to advance intelligent manufacturing and adaptive robotic systems.