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相关概念视频

Tactile and Chemical Senses01:27

Tactile and Chemical Senses

269
Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
269
Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

253
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...
253

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相关实验视频

Updated: May 16, 2025

A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

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一个强大且通向敏感的电子天线,用于触觉感应的感知.

Hao Ren1,2, Liu Yang2,3,4, Hong-Yuan Chang2

  • 1The Robot and Automation Center and the Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China.

Nature communications
|April 1, 2025
PubMed
概括

研究人员为机器人开发了一种强大的,以昆虫天线为灵感的电子触觉传感器. 这种传感器在积极的环境交互和导航任务中表现出色,大大提高了机器人的能力.

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Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects
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Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
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相关实验视频

Last Updated: May 16, 2025

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科学领域:

  • 机器人和材料科学 机器人和材料科学
  • 生物仿真工程 生物仿真工程

背景情况:

  • 传统的类似皮肤的触觉传感器与积极的环境相互作用和机械稳固性作斗争.
  • 夜行昆虫的生物天线为增强感官能力提供了灵感.

研究的目的:

  • 引入一种由昆虫生物天线启发的新型电子触觉传感器.
  • 通过改进的触觉感知来增强机器人的积极环境感知和交互能力.

主要方法:

  • 设计了一种带有细分灵活性和部分磁化的触觉传感器,以获得机械强度.
  • 通过专门的设计和算法实现了全方位加载识别.
  • 将传感器与机器人应用的触觉感知算法集成.

主要成果:

  • 传感器表现出卓越的机械强度,能够承受极端的变形 (1800%扭转,224%拉伸,360°曲).
  • 实现了1.76°的全向负载识别精度,显著优于生物天线.
  • 启用无视觉导航,跟踪偏差为0.2毫米,地面纹理识别准确率为97%.
  • 成功地在蛇形表面上进行了符合规格的机器人刷毛,力差低 (0.34 N).

结论:

  • 与现有技术相比,开发的触摸传感器提供了卓越的机械强度和传感精度.
  • 它的插即用功能和先进的算法促进了与各种机器人系统的无集成.
  • 这项研究促进了基于触觉的积极环境感知和互动,对机器人有广泛的影响.