A Skin-Like Soft Compression Sensor for Robotic Applications.

IF 6.4 2区 计算机科学 Q1 ROBOTICS
Masoumeh Hesam Mahmoudinezhad, Iain Anderson, Samuel Rosset
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引用次数: 2

Abstract

We present a compression sensor based on a strain-sensitive carbon black-silicone composite cast on top of a printed circuit board with interdigitated electrodes. This results in a very sensitive and soft capacitive compression sensor not requiring a structured dielectric or compliant electrodes. We show how the optimal loading of carbon black to maximize the sensitivity depends on the type of carbon black and the stiffness of the silicone matrix. The optimal quantity of carbon black leads to a high sensitivity of 252% for an input force of 10 N (this corresponds to an input pressure of 17 kPa), without stiffening the silicone matrix or increasing the viscoelastic losses noticeably. The fabrication process of the sensors is much simpler than that of other soft capacitive sensors, and unlike carbon black-silicone resistive sensors, these capacitive sensors do not exhibit time-dependent impedance creep. They can be made thick without affecting their base capacitance or sensitivity, leading to compliant and conformable sensing interfaces suitable for a variety of applications, such as robotic tactile sensors.

一种用于机器人的皮肤状软压缩传感器。
我们提出了一种基于应变敏感的碳黑-硅复合材料的压缩传感器,该复合材料浇铸在具有交叉电极的印刷电路板上。这就产生了一种非常敏感和柔软的电容压缩传感器,而不需要结构化的电介质或柔性电极。我们展示了如何炭黑的最佳负载,以最大限度地提高灵敏度取决于炭黑的类型和硅树脂基体的刚度。当输入力为10 N(对应于输入压力为17 kPa)时,炭黑的最佳用量可使灵敏度达到252%,而不会使硅树脂基体变硬或显著增加粘弹性损失。传感器的制造过程比其他软电容式传感器简单得多,并且与碳黑-硅电阻式传感器不同,这些电容式传感器不会表现出随时间变化的阻抗蠕变。它们可以在不影响其基电容或灵敏度的情况下变厚,从而产生适用于各种应用(如机器人触觉传感器)的兼容且符合要求的传感接口。
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来源期刊
Soft Robotics
Soft Robotics ROBOTICS-
CiteScore
15.50
自引率
5.10%
发文量
128
期刊介绍: Soft Robotics (SoRo) stands as a premier robotics journal, showcasing top-tier, peer-reviewed research on the forefront of soft and deformable robotics. Encompassing flexible electronics, materials science, computer science, and biomechanics, it pioneers breakthroughs in robotic technology capable of safe interaction with living systems and navigating complex environments, natural or human-made. With a multidisciplinary approach, SoRo integrates advancements in biomedical engineering, biomechanics, mathematical modeling, biopolymer chemistry, computer science, and tissue engineering, offering comprehensive insights into constructing adaptable devices that can undergo significant changes in shape and size. This transformative technology finds critical applications in surgery, assistive healthcare devices, emergency search and rescue, space instrument repair, mine detection, and beyond.
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