软机器人
可穿戴计算机
机器人
微流控
流体学
计算机科学
软件可移植性
人工肌肉
机械工程
执行机构
接口
模块化设计
材料科学
纳米技术
电气工程
嵌入式系统
计算机硬件
工程类
人工智能
操作系统
程序设计语言
作者
Vito Cacucciolo,Jun Shintake,Yu Kuwajima,Shingo Maeda,Dario Floreano,Herbert Shea
出处
期刊:Nature
[Springer Nature]
日期:2019-08-15
卷期号:572 (7770): 516-519
被引量:290
标识
DOI:10.1038/s41586-019-1479-6
摘要
Machines made of soft materials bridge life sciences and engineering1. Advances in soft materials have led to skin-like sensors and muscle-like actuators for soft robots and wearable devices1–3. Flexible or stretchable counterparts of most key mechatronic components have been developed4,5, principally using fluidically driven systems6–8; other reported mechanisms include electrostatic9–12, stimuli-responsive gels13,14 and thermally responsive materials such as liquid metals15–17 and shape-memory polymers18. Despite the widespread use of fluidic actuation, there have been few soft counterparts of pumps or compressors, limiting the portability and autonomy of soft machines4,8. Here we describe a class of soft-matter bidirectional pumps based on charge-injection electrohydrodynamics19. These solid-state pumps are flexible, stretchable, modular, scalable, quiet and rapid. By integrating the pump into a glove, we demonstrate wearable active thermal management. Embedding the pump in an inflatable structure produces a self-contained fluidic ‘muscle’. The stretchable pumps have potential uses in wearable laboratory-on-a-chip and microfluidic sensors, thermally active clothing and autonomous soft robots. A stretchable polymer pump that uses electric fields to accelerate ions in dielectric liquids can generate flow even when bent into different conformations, offering applications in soft robotics.
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