摩擦电效应
触觉传感器
压力传感器
材料科学
稳健性(进化)
纳米发生器
计算机科学
卷积神经网络
电容器
电容感应
人工智能
热敏电阻器
人工神经网络
信号(编程语言)
智能传感器
图像传感器
传感器阵列
电压
数据采集
接近传感器
电光传感器
电极
电子皮肤
电子工程
声学
信号处理
作者
Xijing Yu,Sheng Li,Shimin Liu,Jianlong Qiu,Lei Yang,Yanjie Guo,Kai Jiang
标识
DOI:10.1002/adfm.202521585
摘要
Abstract Inspired by the multimodal sensing capabilities of the human tactile system, this study proposes a multifunctional flexible tactile sensor capable of simultaneously detecting pressure, temperature, and material type. The pressure sensing module is based on a parallel‐plate capacitor structure and incorporates an electrode array to detect and compensate for in‐plane tensile strain, thereby improving the accuracy and robustness of normal pressure measurements. A serpentine‐patterned thermistor is embedded within the sensor to achieve real‐time temperature monitoring and compensation. Additionally, a single‐electrode triboelectric nanogenerator enables material recognition by leveraging differences in triboelectric polarity and contact‐induced charge transfer across materials. The integration of these three sensing modalities allows for synergistic signal correction and enhancement. A complete tactile sensing system is developed by integrating the sensor with a robotic arm, a PyQt‐based data acquisition and control interface, and a ResNet18‐1D convolutional neural network for material classification. Experimental results demonstrate accurate real‐time pressure and temperature monitoring, as well as reliable material identification with a classification accuracy of up to 100%. The proposed multifunctional tactile sensor system offers a compact and high‐performance solution for applications in robotics, prosthetics, and intelligent human–machine interfaces.
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