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Design Example: Resistive Touchscreen

Design Example: Resistive Touchscreen

A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...

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Updated: Jun 23, 2026

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Published on: September 1, 2016

全打印指纹灵感触觉传感器阵列用于微尺度纹理检测和3D重建.

Yilin Wang¹, Jiafeng Zhao¹, Xu Zeng¹

¹School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

|May 2, 2024

概括

研究人员开发了一种新的电子皮肤传感器阵列,能够为机器人提供3D触觉传感. 这种人工皮肤技术可以检测微观纹理并重建它们,使机器人能够"感觉"并解释物理世界.

关键词:

一个全打印的印刷品.生物启发的生物启发.布莱尔文识别功能布莱尔文识别功能人机界面的人机界面触觉传感器触觉传感器纹理检测器纹理检测器纹理重建结构重建

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相关实验视频

Last Updated: Jun 23, 2026

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

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Published on: September 1, 2016

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Published on: April 21, 2023

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

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科学领域:

机器人技术机器人技术机器人技术
材料科学材料科学材料科学
传感器传感器传感器

背景情况:

电子皮肤旨在模仿机器人的人类触觉.
目前的人工皮肤很难检测垂直表面的特性.
微尺度纹理的3D重建对于先进的触觉感应至关重要.

研究的目的:

开发一种以手指为灵感,全打印的触觉传感器阵列,用于3D微尺度结构检测和重建.
为了克服在人造皮肤应用中感知垂直属性的局限性.
为了在现实世界应用中展示这项技术的潜力,例如盲人识别.

主要方法:

提出了一种具有悬浮多层膜的新型光束结构,用于触觉感应.
开发了一个12个单元的触觉传感器阵列,采用双列布局.
利用创新的印技术,使用多层和牺牲层技术制造设备.
实现了自我校准,以优化3D重建模式.

主要成果:

触觉传感器阵列成功获得了全面的3D几何信息,包括形态和空隙特征.
完全打印的传感器阵列展示了微尺度纹理的有效3D重建.
使用传感器阵列开发了一个盲文识别系统,解释2级盲文.
这项技术显示出使机器人能够感知和重建微观世界的前景.

结论:

开发的电子皮肤为人工皮肤提供了3D触觉感应的突破.
这项技术使机器人能够以前所未有的细节感知和与微观环境互动.
该研究强调了生物灵感机器人与现实世界互动的增强感官能力的重大进步.