Guichuan Hu

Chongqing University of Science and Technology

Papers

Total Citations

H-Index

About

Guichuan Hu is a researcher specializing in intelligent inspection robotics and structural health monitoring, with a focus on critical infrastructure such as cable-stayed bridges and large hydraulic turbines. His work addresses the challenge of detecting surface defects—like cracks, cavitation erosion, and wear—in hard-to-reach components, using advanced robotics and computer vision. Hu’s most cited paper, "Structure Design of Cable-Stayed Bridge Intelligent Detection Robot" (2021, 4 citations), introduces a novel robot for inspecting bridge cables, which are vital for structural safety. He further advances defect detection with "Method for detecting surface defects of runner blades of large hydraulic turbines based on improved real-time lightweight network" (2021, 3 citations), integrating lightweight neural networks for efficient, real-time analysis. His research has direct implications for preventing catastrophic failures in energy and transportation systems, demonstrating practical impact despite modest citation counts. Hu’s work exemplifies the fusion of mechanical design and AI-driven image processing, offering scalable solutions for infrastructure maintenance. His contributions are particularly notable for their emphasis on automation and reliability, making him a promising voice in the field of intelligent inspection systems.