人工肌肉
执行机构
材料科学
机器人学
触觉技术
可扩展性
纤维
计算机科学
压阻效应
软机器人
Lift(数据挖掘)
弹性(材料科学)
复合材料
人工智能
机器人
数据挖掘
数据库
作者
Mehmet Kanik,Sirma Orguc,Georgios Varnavides,Jinwoo Kim,Thomas Benavides,Dani O. Gonzalez,Timothy Akintilo,Cemal Cem Tasan,Anantha P. Chandrakasan,Yoel Fink,Polina Anikeeva
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2019-07-12
卷期号:365 (6449): 145-150
被引量:232
标识
DOI:10.1126/science.aaw2502
摘要
Artificial muscles may accelerate the development of robotics, haptics, and prosthetics. Although advances in polymer-based actuators have delivered unprecedented strengths, producing these devices at scale with tunable dimensions remains a challenge. We applied a high-throughput iterative fiber-drawing technique to create strain-programmable artificial muscles with dimensions spanning three orders of magnitude. These fiber-based actuators are thermally and optically controllable, can lift more than 650 times their own weight, and withstand strains of >1000%. Integration of conductive nanowire meshes within these fiber-based muscles offers piezoresistive strain feedback and demonstrates long-term resilience across >105 deformation cycles. The scalable dimensions of these fiber-based actuators and their strength and responsiveness may extend their impact from engineering fields to biomedical applications.
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