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基于皮肤灵感的热感受器的电子皮肤用于仿生热痛反射。

Skin-Inspired Thermoreceptors-Based Electronic Skin for Biomimicking Thermal Pain Reflexes.

机构信息

Bendable Electronics and Sensing Technologies (BEST) Group, University of Glasgow, Glasgow, G12 8QQ, UK.

出版信息

Adv Sci (Weinh). 2022 Sep;9(27):e2201525. doi: 10.1002/advs.202201525. Epub 2022 Jul 25.

Abstract

Electronic systems possessing skin-like morphology and functionalities (electronic skins [e-skins]) have attracted considerable attention in recent years to provide sensory or haptic feedback in growing areas such as robotics, prosthetics, and interactive systems. However, the main focus thus far has been on the distributed pressure or force sensors. Herein a thermoreceptive e-skin with biological systems like functionality is presented. The soft, distributed, and highly sensitive miniaturized (≈700 µm ) artificial thermoreceptors (ATRs) in the e-skin are developed using an innovative fabrication route that involves dielectrophoretic assembly of oriented vanadium pentoxide nanowires at defined locations and high-resolution electrohydrodynamic printing. Inspired from the skin morphology, the ATRs are embedded in a thermally insulating soft nanosilica/epoxy polymeric layer and yet they exhibit excellent thermal sensitivity (-1.1 ± 0.3% °C ), fast response (≈1s), exceptional stability (negligible hysteresis for >5 h operation), and mechanical durability (up to 10 000 bending and twisting loading cycles). Finally, the developed e-skin is integrated on the fingertip of a robotic hand and a biological system like reflex is demonstrated in response to temperature stimuli via localized learning at the hardware level.

摘要

近年来,具有类似皮肤形态和功能的电子系统(电子皮肤[e-skins])受到了广泛关注,可用于机器人技术、假肢和交互系统等不断发展的领域提供感官或触觉反馈。然而,目前的主要关注点一直是分布式压力或力传感器。本文提出了一种具有类似生物系统功能的热感受器电子皮肤。该电子皮肤中的柔软、分布式和高度敏感的小型化(≈700 μm)人工热感受器(ATRs)是使用创新的制造工艺开发的,该工艺涉及在特定位置和高分辨率电动力学印刷中定向组装五氧化二钒纳米线。受皮肤形态的启发,将 ATRs 嵌入到热绝缘的软纳米二氧化硅/环氧树脂聚合物层中,同时它们表现出出色的热灵敏度(-1.1 ± 0.3% °C)、快速响应(≈1s)、卓越的稳定性(超过 5 小时操作时几乎没有滞后)和机械耐久性(高达 10000 次弯曲和扭曲加载循环)。最后,开发的电子皮肤集成在机器人手的指尖上,并通过硬件级别的局部学习,展示了对温度刺激的类似生物系统的反射。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/346b/9507360/ad62b0e3aa24/ADVS-9-2201525-g002.jpg

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