Papers
5
Total Citations
340
H-Index
4
About
Lu-Qi Tao is a leading researcher in flexible electronics and human–machine interfaces, with a focus on graphene-based sensors and transducers. His pioneering work on strain sensors, including the development of self-locked overlapping graphene sheets (136 citations) and self-adapted tunable designs (120 citations), has addressed the critical trade-off between high sensitivity and large strain range, enabling detection of both subtle and large human motions. These innovations have paved the way for advanced wearable devices, medical sensing, and artificial skin. Tao’s recent contributions extend to intelligent acoustic transducers and multifunctional electronic patches, integrating machine learning for gesture recognition and human–robot communication, as demonstrated in his 2022 paper on graphene-based dual-function acoustic transducers (75 citations). His work on environmentally adaptive graphene artificial throats and ultrasound encryption communication further highlights his impact in creating robust, intelligent interfaces. With over 340 citations across his most-cited works, Tao continues to push the boundaries of flexible electronics, offering transformative solutions for robotics, healthcare, and interactive systems.
Research Focus
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Top Papers
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