Gansu Chen

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About

Gansu Chen is a researcher focused on the intersection of robotics, structural mechanics, and intelligent navigation systems. His work addresses critical challenges in robotic durability and autonomous library operations. Chen’s most cited paper, “Fatigue life estimation for simply-supported pipeline of robots under hybrid excitation” (2017, 7 citations), provides a foundational framework for predicting the lifespan of robotic components subjected to complex, multi-source vibrations—a key contribution to improving the reliability of industrial and service robots. He also developed a novel QR code image processing mechanism for book access robot positioning and navigation (2018, 3 citations), which overcomes the limitations of traditional inertial and binocular visual navigation in library environments. This work enables high-precision localization and book information recognition, directly advancing automated library systems. By combining structural fatigue analysis with practical navigation solutions, Chen bridges theoretical mechanics and applied robotics. His research has significant implications for extending robot operational life and enhancing autonomous systems in structured environments like libraries and warehouses.