Guoqing Ma

Papers

Total Citations

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About

Guoqing Ma is a robotics researcher specializing in structural optimization and mechanical design for specialized robotic systems, with a particular focus on pipe-climbing robots. His most-cited work, "Structural optimization of a pipe-climbing robot based on ANSYS" (2022), demonstrates his expertise in applying computational modeling and simulation tools to enhance robot performance. In this study, Ma employed MATLAB for mathematical modeling of robot mechanics and dimensional constraints, then utilized ANSYS for finite element analysis to optimize the structural integrity and efficiency of an out-of-pipe climbing robot. This work addresses critical challenges in industrial inspection and maintenance robotics, where reliable pipe-climbing mechanisms are essential for infrastructure monitoring in sectors such as oil, gas, and chemical processing. While his citation count of 3 reflects the emerging nature of his research career, his methodological approach—combining analytical optimization with simulation-based validation—represents a systematic contribution to robot design methodology. Ma's research bridges theoretical mechanics and practical engineering, offering valuable insights for students and researchers interested in the intersection of structural optimization, robotics, and industrial automation.