Huzhe Song

Guangxi University of Science and Technology

Papers

Total Citations

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About

Huzhe Song is a researcher advancing the field of automated robotic systems for maritime and industrial applications, with a primary focus on climbing robots and intelligent control algorithms. His work centers on the design and motion analysis of magnetic climbing robots for ship shell plates, addressing the hazardous and time-consuming manual labor involved in ship manufacture, maintenance, and inspection. Song’s most-cited paper, "Design and Motion Analysis of a Magnetic Climbing Robot Applied to Ship Shell Plate" (2022, 13 citations), demonstrates his contribution to automating shipyard operations through innovative robotic locomotion. He further extends this research into trajectory tracking control for climbing welding robots, proposing an improved sliding mode control algorithm (2024, 6 citations) that mitigates issues like jitter and slow response in automated welding processes. By integrating robust control strategies with practical robotic design, Song’s work enhances the precision and safety of industrial automation. His research holds significant impact for the shipping industry and manufacturing sectors, offering scalable solutions for high-risk tasks. Song’s achievements underscore his role in bridging robotics engineering with real-world industrial challenges, making him a notable contributor to the field of mobile manipulator control and climbing robot technology.