Huang Junfen

Beijing Institute of Petrochemical Technology

Papers

Total Citations

H-Index

About

Huang Junfen’s research centers on intelligent welding robotics and laser vision sensing, with a focus on automating complex welding tasks. Their major contributions include developing a pipe welding robot system that uses a single laser visual sensor to recognize and track grooves in two dimensions, enabling real-time seam tracking and simultaneous teaching of the robot. This work, published in 2008, laid the foundation for adaptive welding in constrained environments. Huang also advanced welding quality control with a constant speed algorithm for complex cross-section welding, using angle self-testing to maintain precision (2014). Additionally, they created a welding deviation detection algorithm based on molten pool image contour extremum (2015), which improves accuracy in automated processes. With over 30 citations across these key papers, Huang’s research has practical impact in industrial automation, particularly for pipe welding and real-time defect correction. Their work is notable for integrating sensor feedback with robotic control, offering solutions for challenging welding geometries.