Changan Yuan

Guangxi Academy of Sciences, Nanning Normal University

Papers

Total Citations

H-Index

About

Changan Yuan is a researcher whose work bridges robotics, computer vision, and intelligent algorithms. His primary research areas include mobile robot path planning, natural scene text detection, and bio-inspired optimization methods. Yuan’s most impactful contribution is the development of a novel path planning algorithm for mobile robots that integrates a water flow potential field method with the beetle antennae search algorithm (2023, 49 citations), offering a more efficient and adaptive approach to navigation in complex environments. In computer vision, he proposed an arbitrary shape natural scene text detection method using a soft attention mechanism and dilated convolution (2020, 16 citations), addressing the challenging problem of detecting irregularly shaped text in real-world images—a critical task for applications like unmanned driving and robot sensing. This work advances beyond traditional horizontal and oriented text detection methods. With a growing citation record and a focus on practical, real-world applications, Yuan’s research demonstrates a clear trajectory toward solving complex problems in autonomous systems and visual perception, making his work relevant for students and researchers in robotics and artificial intelligence.