Wenhui Duan

Monash University, Southwest University of Science and Technology

Papers

Total Citations

205

H-Index

About

Wenhui Duan is a leading researcher at the intersection of robotics, intelligent systems, and structural health monitoring. Her most impactful work, "Intelligent robotic systems for structural health monitoring: Applications and future trends" (2022), has garnered 173 citations, establishing her as a key voice in the application of autonomous systems for infrastructure assessment. Duan’s research also advances soft robotics through bioinspired design; her 2021 study on a soft robotic gripper using fibrillar adhesives—mimicking gecko and tree frog adhesion—demonstrates novel approaches to flexible, adaptive manipulation. Additionally, her work on nonlinearity activated noise-tolerant zeroing neural networks (NANTZNN) for real-time matrix inversion (2018) addresses critical computational challenges in robotics and signal processing. By combining theoretical modelling with practical applications in robot technology and image processing, Duan’s contributions span from foundational neural network algorithms to deployable robotic systems. Her research not only pushes the boundaries of soft robotics and intelligent monitoring but also provides robust solutions for real-time, noise-tolerant computation, making her a versatile and impactful figure in modern engineering.