Yuezhen Fan

Papers

Total Citations

H-Index

About

Yuezhen Fan is a robotics researcher whose work centers on improving the precision and reliability of industrial robotic systems, with a particular focus on palletizing robots. Her most notable contribution is the development of a kinematic self-calibration method designed to enhance the position and orientation accuracy of joint-based palletizing robots. This work, detailed in her 2010 paper "The kinematic self-calibration method and simulation of one palletizing robot," addresses a critical challenge in manufacturing automation: the need for robots to maintain high precision over time without costly external measurement equipment. By employing a micrometer gauge and measuring platform, Fan's method enables robots to self-correct their kinematic parameters, reducing errors that accumulate from wear or assembly tolerances. While her citation count of 3 reflects a niche but specialized audience, her research holds practical significance for industries relying on repetitive, high-accuracy tasks like material handling and packaging. Fan's approach exemplifies a cost-effective solution for maintaining robotic performance, making her work a valuable reference for engineers and researchers seeking to optimize automation systems in real-world settings.