Qingxin Li

Shenyang Institute of Automation, Yangzhou University

Papers

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About

Qingxin Li is a researcher whose work spans the frontiers of robotics, control systems, and smart materials. His primary research areas include nonlinear disturbance rejection for robotic manipulators, real-time control education, and the development of flexible magnetic transducers for soft robotics. Li’s most significant contribution is the universal nonlinear disturbance observer (UNDO) for robotic manipulators, which addresses the critical challenge of dynamic uncertainties and unknown disturbances that degrade tracking performance. By relaxing restrictions on disturbance estimation, this work—published in 2023 with 9 citations—provides a robust framework for improving robot precision in real-world applications. He also developed DOREP, an educational experiment platform for robot control using MATLAB and real-time controllers, which has garnered 6 citations and serves as a valuable tool for training the next generation of roboticists. In 2024, Li advanced the field of soft robotics with his work on magnetic elastomer composites (BaCoₓTiₓFe₁₂–₂ₓO₁₉/PDMS), achieving tunable magnetization behaviors for flexible magnetic transducers (3 citations). This interdisciplinary approach, bridging control theory and materials science, positions Li as an innovative thinker whose work impacts both practical robotics and emerging soft robotic technologies.