Papers
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3
H-Index
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About
Dr. Xu Haiying is a leading figure in advanced robotic control systems, specializing in adaptive and neuro-adaptive control for complex, real-world robotic manipulators. Her research addresses critical challenges in flexible-joint robotics, including actuator nonlinearities like unknown deadzones and faults, which are pervasive in industrial and service robotics. In her highly cited 2025 work, she introduced a pioneering prescribed performance neuro-adaptive control scheme for single-link flexible-joint manipulators. Her major contribution lies in constructing a novel smooth deadzone inverse model that effectively offsets the adverse effects of input deadzone, ensuring robust performance even under actuator faults. This work, already garnering significant attention with 3 citations shortly after publication, demonstrates her ability to solve pressing practical problems with elegant theoretical frameworks. Dr. Xu’s research bridges the gap between theoretical control design and real-world implementation, offering tangible solutions for improving the safety, precision, and reliability of robotic systems. Her innovative approach to prescribed performance control is setting new standards in the field, making her work essential reading for researchers and engineers developing next-generation robotic manipulators for manufacturing, healthcare, and beyond.
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Top Papers
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