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About

Jiluan Pan is a pioneering researcher in the field of automated welding robotics, with a focus on intelligent seam tracking and mobile welding systems. His work centers on developing advanced sensors and control systems to enable robots to perform high-precision welding in complex, large-scale industrial environments. Pan’s major contributions include the design of a mobile welding robot that integrates a rotating arc sensor for real-time seam tracking, significantly improving the automation of large fillet welding tasks. He also introduced a dual-structure laser vision sensor to overcome the offset error between sensor and torch, a critical advancement for mobile welding applications. With over 10 citations for his most-cited paper and additional work on fuzzy edge detection and arc length control for electrogas welding, Pan’s research has laid the groundwork for more reliable and autonomous welding processes. His recent work on a wall-climbing welding robot for spherical tanks demonstrates his continued innovation in expanding the capabilities of welding automation. Pan’s contributions are essential for students and researchers interested in robotic welding, sensor fusion, and industrial automation.