Papers
4
Total Citations
34
H-Index
3
About
Jusoan Lang Mor is a robotics and automation researcher whose work focuses on intelligent welding systems and motor control for industrial applications. His primary research areas include computer vision for robotic welding, automated seam tracking, and advanced control systems for electric motors. Mor’s most significant contribution is the development of a Vision-Based Measurement (VBM) system for welding groove measurements, which evaluates how different conditions and algorithms impact the measurement of beveled edges—a critical step for meeting international fusion welding standards. He also designed an automated seam tracking system using passive monocular vision, specifically aimed at improving productivity and safety in the hazardous shipbuilding industry. His work on identifying parameters and automatically redesigning speed controllers for BLDC motors has further advanced small-scale robotics. With over 34 citations across his key publications, Mor’s research has practical implications for reducing human labor in dangerous environments. His notable achievements include integrating Kalman Filter-based pole placement control for linear welding robots, demonstrating a sophisticated approach to ensuring precise, reliable robotic performance in demanding industrial settings.
Research Focus
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