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Logic-enabled textiles

Textiles hold great promise as a soft yet durable material for building comfortable robotic wearables and assistive devices at low cost. Nevertheless, the development of smart wearables composed entirely of textiles has been hindered by the lack of a viable sheet-based logic architecture that can be...

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Autores principales: Rajappan, Anoop, Jumet, Barclay, Shveda, Rachel A., Decker, Colter J., Liu, Zhen, Yap, Te Faye, Sanchez, Vanessa, Preston, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436326/
https://www.ncbi.nlm.nih.gov/pubmed/35994641
http://dx.doi.org/10.1073/pnas.2202118119
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author Rajappan, Anoop
Jumet, Barclay
Shveda, Rachel A.
Decker, Colter J.
Liu, Zhen
Yap, Te Faye
Sanchez, Vanessa
Preston, Daniel J.
author_facet Rajappan, Anoop
Jumet, Barclay
Shveda, Rachel A.
Decker, Colter J.
Liu, Zhen
Yap, Te Faye
Sanchez, Vanessa
Preston, Daniel J.
author_sort Rajappan, Anoop
collection PubMed
description Textiles hold great promise as a soft yet durable material for building comfortable robotic wearables and assistive devices at low cost. Nevertheless, the development of smart wearables composed entirely of textiles has been hindered by the lack of a viable sheet-based logic architecture that can be implemented using conventional fabric materials and textile manufacturing processes. Here, we develop a fully textile platform for embedding pneumatic digital logic in wearable devices. Our logic-enabled textiles support combinational and sequential logic functions, onboard memory storage, user interaction, and direct interfacing with pneumatic actuators. In addition, they are designed to be lightweight, easily integrable into regular clothing, made using scalable fabrication techniques, and durable enough to withstand everyday use. We demonstrate a textile computer capable of input-driven digital logic for controlling untethered wearable robots that assist users with functional limitations. Our logic platform will facilitate the emergence of future wearables powered by embedded fluidic logic that fully leverage the innate advantages of their textile construction.
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spelling pubmed-94363262023-02-22 Logic-enabled textiles Rajappan, Anoop Jumet, Barclay Shveda, Rachel A. Decker, Colter J. Liu, Zhen Yap, Te Faye Sanchez, Vanessa Preston, Daniel J. Proc Natl Acad Sci U S A Physical Sciences Textiles hold great promise as a soft yet durable material for building comfortable robotic wearables and assistive devices at low cost. Nevertheless, the development of smart wearables composed entirely of textiles has been hindered by the lack of a viable sheet-based logic architecture that can be implemented using conventional fabric materials and textile manufacturing processes. Here, we develop a fully textile platform for embedding pneumatic digital logic in wearable devices. Our logic-enabled textiles support combinational and sequential logic functions, onboard memory storage, user interaction, and direct interfacing with pneumatic actuators. In addition, they are designed to be lightweight, easily integrable into regular clothing, made using scalable fabrication techniques, and durable enough to withstand everyday use. We demonstrate a textile computer capable of input-driven digital logic for controlling untethered wearable robots that assist users with functional limitations. Our logic platform will facilitate the emergence of future wearables powered by embedded fluidic logic that fully leverage the innate advantages of their textile construction. National Academy of Sciences 2022-08-22 2022-08-30 /pmc/articles/PMC9436326/ /pubmed/35994641 http://dx.doi.org/10.1073/pnas.2202118119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Rajappan, Anoop
Jumet, Barclay
Shveda, Rachel A.
Decker, Colter J.
Liu, Zhen
Yap, Te Faye
Sanchez, Vanessa
Preston, Daniel J.
Logic-enabled textiles
title Logic-enabled textiles
title_full Logic-enabled textiles
title_fullStr Logic-enabled textiles
title_full_unstemmed Logic-enabled textiles
title_short Logic-enabled textiles
title_sort logic-enabled textiles
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436326/
https://www.ncbi.nlm.nih.gov/pubmed/35994641
http://dx.doi.org/10.1073/pnas.2202118119
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