Papers
8
Total Citations
447
H-Index
6
About
Yaqian Liu is a leading researcher at the intersection of bioinspired electronics, neuromorphic computing, and intelligent materials. Her work focuses on developing artificial sensory systems that mimic human biological perception, particularly through the integration of haptic and iconic sensing. Liu’s most cited paper, "Artificial multisensory integration nervous system with haptic and iconic perception behaviors" (2021, 136 citations), introduces a groundbreaking platform that combines tactile and visual sensory inputs, enabling more human-like perception in machines. She also pioneered a self-powered sensory memory system actuated by triboelectric receptors for real-time neuromorphic computing (2020, 99 citations), a key advance for energy-efficient AI hardware. Her innovative electroadhesion strategy for ultrastrong hydrogel bonding (2022, 82 citations) has significant implications for soft robotics and biomedical devices. Liu’s work on stretchable triboelectric nanogenerators and bioinspired motion sensory systems further demonstrates her ability to engineer materials that sense, adapt, and respond. With over 400 total citations and a growing portfolio in social robotics for aging care, Liu is shaping the future of intelligent, perceptive systems that bridge the physical and digital worlds.
Research Focus
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Top Papers
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- 6Neuromorphic display system for intelligent display38 citations · 2022
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