Tingting Fang

Shanghai University of Engineering Science

Papers

Total Citations

H-Index

About

Tingting Fang is a leading researcher in industrial robotics and automation, with a primary focus on omni-directional mobile robot navigation and localization systems. Her most-cited work, "Tracking and localization for omni-directional mobile industrial robot using reflectors" (2018, 26 citations), introduces a novel approach to precise robot positioning in manufacturing environments. By leveraging reflector-based tracking, Fang's research addresses critical challenges in industrial settings where accurate localization is essential for material handling, assembly, and logistics. Her contributions have practical implications for smart factories and Industry 4.0, enabling more flexible and efficient automation. Fang's work is recognized for bridging the gap between theoretical robotics and real-world industrial applications, with her 2018 paper serving as a foundational reference for subsequent studies in omni-directional robot control and sensor fusion. Her research continues to influence the development of cost-effective, high-precision localization methods that reduce reliance on expensive GPS or complex vision systems, making industrial automation more accessible.