Papers
11
Total Citations
1,163
H-Index
9
About
Xinqin Liao is a leading figure in the development of bioinspired electronic skins and artificial neural systems for next-generation robotics and human-machine interaction. Her research seamlessly integrates flexible electronics, tactile sensing, and intelligent signal processing to create devices that mimic the human sensory system. Liao’s most impactful contribution is her pioneering work on low-cost, highly sensitive strain sensors, exemplified by her 2015 paper on pencil-drawn graphite sensors (510 citations), which opened new avenues for wearable health monitors. She has since advanced the field by designing self-powered artificial electronic skins for high-resolution pressure sensing (144 citations) and developing an all-in-one bionic artificial nerve (148 citations) that streamlines complex neural architectures. Her highly stretchable, integrated multifunctional sensor system for an artificial peripheral neural system (90 citations) represents a significant step toward conscious prosthetics and intelligent robots. More recently, Liao has explored programmable haptic decoding and material gene expression for alterable robotic skins, pushing toward embodied intelligence. Her work, consistently published in top-tier journals, has garnered over 1,200 citations, establishing her as a key innovator in creating perceptive, adaptive, and sustainable electronic interfaces.
Research Focus
Key Achievements
Top Papers
- 1
- 2A bioinspired analogous nerve towards artificial intelligence148 citations · 2020
- 3Self-powered artificial electronic skin for high-resolution pressure sensing144 citations · 2017
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- 8Alterable Robotic Skin Using Material Gene Expression Modulation40 citations · 2024
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