Shengwei Gu
Papers
4
Total Citations
67
H-Index
3
About
Shengwei Gu is a robotics and control systems researcher whose work centers on the challenging problems of trajectory tracking, multi-robot coordination, and robust control under real-world uncertainties. His research has made meaningful contributions to the field of nonholonomic mobile robot control, with a particular focus on developing finite-time and fixed-time control strategies that guarantee rapid, reliable convergence regardless of initial conditions or environmental disturbances. Gu's most impactful work, "Fixed-time trajectory tracking control for nonholonomic mobile robots based on visual servoing" (2022), has accumulated 41 citations, demonstrating strong community recognition of his integration of visual feedback mechanisms with advanced control theory. His earlier investigations into distributed finite-time control for multi-robot systems addressed the critical challenge of coordinating robot groups in the presence of time-varying unknown parameters and external disturbances, work that has continued to attract scholarly attention with 17 citations since its 2017 publication. Across his portfolio, Gu has consistently pushed the boundaries of what is achievable in uncertain, disturbed environments — developing continuous cooperative control frameworks that translate theoretical rigor into practical robotic applications. His body of work serves as a valuable reference for researchers working at the intersection of control theory, multi-agent systems, and autonomous robotics.
Research Focus
Key Achievements
Top Papers
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