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About

Yuxia Li is a multidisciplinary researcher whose work spans flexible electronics, wearable sensing technologies, and robotic systems. Her most impactful contributions lie in the development of flexible capacitive pressure sensors, where she has pioneered designs incorporating multi-walled carbon nanotube microstructure electrodes and inflatable dielectric layers to achieve high sensitivity, wide detection ranges, and robust stability — qualities essential for healthcare monitoring, human-computer interaction, and intelligent robotics applications. Her 2021 paper on carbon nanotube-based pressure sensors and her 2023 comprehensive review of multifunctional flexible proximity sensors have collectively garnered over 80 citations, reflecting strong community recognition of her work in wearable electronics. Beyond flexible sensing, Li has made notable contributions to robotics, including a fully automatic hand-eye calibration method for serial robots and a general closed-form inverse kinematic solution based on the product of exponentials model, demonstrating her breadth across mechanical and computational aspects of robotic systems. Her more recent work on adaptive prescribed-time fault-tolerant control of robotic manipulators signals a continued evolution toward intelligent, resilient automation. Across these domains, Li's research consistently addresses practical engineering challenges with innovative, application-driven solutions.