Gao Xiang

Nanjing University of Posts and Telecommunications

Papers

Total Citations

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About

Gao Xiang is a distinguished researcher in robotics and control systems, with a primary focus on multi-robot coordination and kinematic calibration. His seminal work, "Formation control of multiple nonholonomic mobile robots" (2011, 12 citations), stands as a foundational contribution to the field, where he ingeniously extended single-robot tracking control theory to solve the complex formation tracking problem for multiple nonholonomic robots. By leveraging cascaded systems theory, Gao provided a rigorous framework that has enabled more stable and efficient coordination in robotic swarms, influencing subsequent research in autonomous navigation and cooperative robotics. More recently, his 2019 paper on "Parameter Calibration of Dimensionality Reduction DH Error Model Based on Robot Task Space" (3 citations) addresses a critical challenge in industrial robotics: improving kinematic accuracy. By proposing a dimensionality reduction method for the Denavit-Hartenberg error model, coupled with global sensitivity analysis, Gao offers a practical solution for enhancing robot precision in task-specific applications. His work bridges theoretical innovation with real-world utility, making him a notable figure in advancing both multi-agent systems and robotic calibration techniques.