Yunfei Fan

Papers

Total Citations

H-Index

About

Yunfei Fan is a robotics researcher specializing in intelligent manufacturing and automated assembly systems, with a particular focus on precision gluing operations for aerospace applications. His work addresses critical challenges in aircraft assembly, where traditional robotic programming methods fall short due to positioning errors and workpiece deformation. Fan's most cited paper, "An On-Line Path Correction Method Based on 2D Laser Profile Measurement for Gluing Robot" (2022), introduces an innovative real-time correction system that uses laser profile sensors to adapt robotic trajectories during operation, significantly improving gluing accuracy in complex assembly environments. This contribution bridges the gap between offline CAM-generated programs and the unpredictable realities of physical manufacturing. While his citation count is still growing, Fan's research represents an important step toward more flexible, sensor-guided automation in high-stakes industries like aerospace. His work demonstrates how combining real-time sensing with robotic control can overcome the limitations of traditional pre-programmed manufacturing, offering practical solutions for reducing waste and improving quality in precision assembly tasks.