Carbon nano artificial neuron system for flexible tactile sensing

Se-Hoon Park, S. Y. Kim, Jin Ho Kim, I. Kang
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引用次数: 2

Abstract

This paper introduces an ongoing study to development a novel flexible tactile sensing system. The tactile system is consisted of the array of flexible sensors having piezoresistivity. To achieve flexibility and high sensitivity, the flexible sensors have been developed with smart nanocomposites. The smart nanocomposites are fabricated with multi-walled carbon nanotubes (MWCNTs) and graphene oxide (GO). The piezo-resistive characteristics of the sensors show fairy linear strain sensing with gauge factor range from 1~300 with respect to various strain range (~ 0.4%). The GO based strain sensor shows impact response over 0.09kg m/s which can sufficiently detect small contact forces. The long and flexible sensor can be considered to be a continuous sensor like a dendrite of a neuron in the human body and we named the sensor as a biomimetic artificial neuron. To mimic tactile system, we design ANMS (Artificial Neuron Matrix System) consisting the array of neurons and develop tactile algorithm to localize the contact information with a signal processing system.
柔性触觉感知碳纳米人工神经元系统
本文介绍了一种新型柔性触觉传感系统的研究进展。触觉系统由一系列具有压阻性的柔性传感器组成。为了实现柔性和高灵敏度,采用智能纳米复合材料开发了柔性传感器。采用多壁碳纳米管(MWCNTs)和氧化石墨烯(GO)制备了智能纳米复合材料。该传感器的压阻特性表现为良好的线性应变传感,相对于不同的应变范围,测量因子范围为1~300(~ 0.4%)。基于氧化石墨烯的应变传感器显示出超过0.09kg m/s的冲击响应,可以充分检测小的接触力。这种长而灵活的传感器可以看作是像人体神经元树突一样的连续传感器,我们将这种传感器命名为仿生人工神经元。为了模拟触觉系统,我们设计了由神经元阵列组成的人工神经元矩阵系统(ANMS),并利用信号处理系统开发了触觉算法来定位接触信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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