Hailong Ge

Papers

Total Citations

H-Index

About

Hailong Ge is a researcher advancing intelligent manufacturing through robotics and laser processing technologies. His primary research areas include robot vision sensing, weld seam tracking, and automated path planning for laser cleaning systems. Ge’s most cited work, “Research Progress of Robot Vision Sensing Weld Seam Tracking Technology” (2022, 5 citations), provides a comprehensive review of how visual sensing enables precise weld position detection—a cornerstone for intelligent welding automation. His second notable contribution, “Off-line programming of robot on laser cleaning for large complex components” (2021, 3 citations), addresses the critical challenge of maintaining constant focal length and perpendicular angle between the cleaning head and workpiece surfaces. This work has practical significance for surface treatment of large, geometrically complex components, where manual programming is inefficient. Though his citation counts are still growing, Ge’s research bridges fundamental sensing challenges with industrial application, particularly in scenarios demanding high precision and adaptability. His focus on integrating vision systems with robotic control positions him as a contributor to the next generation of smart welding and cleaning technologies, with potential for broader impact as these methods gain adoption in manufacturing.