Kun Fan

Zhengzhou University, Southeast University

Papers

Total Citations

H-Index

About

Kun Fan is a robotics researcher whose work bridges precision control and artistic expression in robotic systems. His primary research areas include robot-assisted surgery, redundant manipulator control, and robotic calligraphy. Fan’s most impactful contribution is his work on cascaded extended state observer (ESO) based multi-task priority tracking for redundant robots, which has garnered 6 citations since 2023. This research advances the ability of robots to simultaneously perform multiple tasks while maintaining compliance and safety in dynamic environments. In the medical domain, Fan developed an improved sliding mode control scheme (DOB-PD-SMC) for robot-assisted surgery training, addressing the critical challenge of controller jitter while preserving robustness—a contribution that has earned 4 citations. His creative side emerges in robotic calligraphy, where he achieved fine-grained control over brushstroke dynamics, moving beyond rigid industrial programming to enable more natural character generation. This work, with 3 citations, demonstrates his ability to merge technical control theory with artistic nuance. Fan’s research is notable for its practical applications in both surgical precision and creative robotics, making him a versatile contributor to the field of human-robot interaction.