Fan Xun

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Fan Xun is a robotics researcher whose work centers on the kinematic design, dynamic modeling, and reliability analysis of specialized robotic systems. His primary research areas include parallel robots, welding automation, and mobile inspection platforms for extreme environments. A key contribution is his motion reliability analysis of the Delta parallel robot, where he systematically quantified the impact of mechanism errors on positioning accuracy—a critical step for high-precision applications in assembly and packaging. His study on the rigid-flexible coupling dynamics of welding robots further advanced the understanding of how structural flexibility affects performance in industrial tasks. Fan has also addressed the pressing need for automation in hazardous mining conditions, developing a bionic joint-type mobile robot platform for inspecting thin coal seams, a design that reduces human labor in narrow, dangerous spaces. With over 36 citations across his most influential works, Fan Xun’s research bridges fundamental robotics theory with practical, safety-critical applications, demonstrating a sustained commitment to improving both industrial productivity and worker safety.