机器人
微控制器
接口
计算机科学
计算
电子线路
冯·诺依曼建筑
数码产品
可伸缩电子设备
嵌入式系统
软质材料
印刷电路板
计算机硬件
工程类
电气工程
人工智能
纳米技术
材料科学
算法
操作系统
作者
Stephanie Woodman,Dylan S. Shah,Melanie Landesberg,Anjali Agrawala,Rebecca Kramer‐Bottiglio
出处
期刊:Science robotics
[American Association for the Advancement of Science (AAAS)]
日期:2024-09-11
卷期号:9 (94)
被引量:1
标识
DOI:10.1126/scirobotics.adn6844
摘要
To achieve real-world functionality, robots must have the ability to carry out decision-making computations. However, soft robots stretch and therefore need a solution other than rigid computers. Examples of embedding computing capacity into soft robots currently include appending rigid printed circuit boards to the robot, integrating soft logic gates, and exploiting material responses for material-embedded computation. Although promising, these approaches introduce limitations such as rigidity, tethers, or low logic gate density. The field of stretchable electronics has sought to solve these challenges, but a complete pipeline for direct integration of single-board computers, microcontrollers, and other complex circuitry into soft robots has remained elusive. We present a generalized method to translate any complex two-layer circuit into a soft, stretchable form. This enabled the creation of stretchable single-board microcontrollers (including Arduinos) and other commercial circuits (including SparkFun circuits), without design simplifications. As demonstrations of the method’s utility, we embedded highly stretchable (>300% strain) Arduino Pro Minis into the bodies of multiple soft robots. This makes use of otherwise inert structural material, fulfilling the promise of the stretchable electronic field to integrate state-of-the-art computational power into robust, stretchable systems during active use.
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