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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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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. |
format | Online Article Text |
id | pubmed-9436326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT rajappananoop logicenabledtextiles AT jumetbarclay logicenabledtextiles AT shvedarachela logicenabledtextiles AT deckercolterj logicenabledtextiles AT liuzhen logicenabledtextiles AT yaptefaye logicenabledtextiles AT sanchezvanessa logicenabledtextiles AT prestondanielj logicenabledtextiles |