触觉传感器
材料科学
自愈水凝胶
二极管
信号(编程语言)
可穿戴计算机
电子皮肤
计算机科学
纳米技术
机器人学
灵敏度(控制系统)
可穿戴技术
人工智能
离子键合
具身认知
软机器人
机器人
仿生学
半导体
追踪
电子元件
电压
传感器阵列
电容感应
光电子学
触摸板
传感器融合
纳米传感器
数码产品
生物传感器
作者
Peng Wan,Duokun Yao,Shu Wan,Li Shen,Yizhou Ye,Haizhou Huang,Ji Jin,Xinlei Wang,Shunbo Li,Xuefeng He,Kuibo Yin,Hengchang Bi,Litao Sun
摘要
ABSTRACT The fusion of wearable sensors and embodied artificial intelligence (AI) is opening new pathways for human‐robotics interaction and personal care technologies. Biological skin relies on ion‐mediated tactile sensing while most artificial counterparts use electronic signal transduction, which creates a fundamental biointegration barrier. Here, we report a facile strategy for fabricating passive ionic diode tactile sensors as well as developing a novel fundamental understanding of the sensing mechanism, which combines semiconductor theory and charge‐induction effects. The device incorporates p‐ and n‐type ionic hydrogels separated by a nylon mesh with microchannels to form a bioinspired ionic diode. Under external pressure, the increased contact area between p‐ and n‐type ionic hydrogels enhances space charge generation, leading to charge accumulation in the electrical double layer, which produces measurable current signals. This design achieves outstanding sensing properties such as high sensitivity (1.71 kPa −1 ), fast response/recovery speed (0.2 s/0.2 s), excellent stability (>5000 cycles), and static/dynamic detection ability. Through integrating a sensor array with machine learning, accurate handwritten digit recognition (96% accuracy) has been realized. Furthermore, we attach a sensor array onto a robotic hand to recognize tracing motions during digit writing and respond with corresponding gestures mimicking human‐like context‐aware behavior.
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