Haijun Ma

Papers

Total Citations

H-Index

About

Haijun Ma is a researcher in advanced robotic welding systems, with a focus on kinematic modeling and precision control for industrial applications. His work addresses critical challenges in automating welding processes, particularly for the automotive industry, where flexibility and cost-efficiency are paramount. Ma’s most cited paper, “Kinematic Modeling of 3P2R Welding Robot Based on D-H Parameters” (2022, 7 citations), introduces a novel 3P2R arc welding robot designed to accommodate diverse vehicle models while reducing reliance on specialized, expensive fixtures. Using SolidWorks for 3D modeling and Denavit-Hartenberg parameters for kinematic analysis, this work provides a foundational framework for robot motion planning and control. In a related study, “The Influence of Control Parameters on Precision of Welding Seam Tracking in Manually Control Master-slave Robot Remote Welding System” (2022, 2 citations), Ma investigates how operator-controlled parameters affect seam tracking accuracy in master-slave teleoperation setups—a key factor for remote welding quality. Though early in his citation trajectory, Ma’s contributions are shaping practical solutions for adaptive, low-cost welding automation, bridging the gap between theoretical robotics and real-world manufacturing demands.