Xiangpeng Liang

Papers

Total Citations

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About

Xiangpeng Liang is a leading researcher at the intersection of flexible electronics, human–machine interfaces (HMI), and intelligent sensing systems. His work focuses on developing lightweight, energy-autonomous electronic skins and smart patches that replicate the tactile and gestural capabilities of human skin. Liang’s major contributions include the design of an ultralight smart patch based on reduced graphene oxide, which uses a reduced sensing array to achieve high-accuracy hand gesture recognition—a breakthrough for wearable HMI and prosthetic control. This work, his most cited paper (17 citations), demonstrates how minimal sensor configurations can still capture complex hand movements, reducing computational and material costs. He has also advanced visual hand tracking using 2-D matched filters on depth images, enabling efficient, low-resource gesture detection without heavy machine learning. Notably, Liang presented a live demonstration of an energy-autonomous electronic skin for robotics, showcasing self-powered tactile sensing for artificial prostheses and robots. His research bridges material science and real-time signal processing, pushing toward practical, wearable systems that enhance human–robot interaction. With a growing citation impact, Liang’s innovations are shaping the future of smart prosthetics and intuitive control interfaces.