Guangyu Cui

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

280

H-Index

About

Guangyu Cui is a leading researcher in the field of industrial robotics, with a primary focus on enhancing the precision, stability, and dynamic performance of robotic systems in manufacturing. Their key research areas include positioning error compensation, dynamic modeling, and vibration suppression for industrial robots. Cui’s most influential work, "Positioning error compensation of an industrial robot using neural networks and experimental study" (2021, 180 citations), introduced a novel neural network-based approach to correct inherent positioning inaccuracies, significantly improving robot reliability for high-precision tasks like machining and assembly. This contribution has been widely adopted in automotive and aerospace industries. In their 2021 paper on dynamic modeling and vibration prediction (77 citations), Cui developed advanced models to forecast and mitigate vibrational disturbances, enhancing robot performance in demanding operations. Their 2022 study on vibration suppression through configuration optimization (23 citations) further advanced practical solutions for drilling applications with automated guided vehicles. Cui’s work bridges the gap between theoretical robotics and industrial application, earning recognition for driving efficiency and accuracy in modern manufacturing. Their research continues to influence the development of smarter, more adaptable robotic systems.