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Origami mechanologic
Robots autonomously interact with their environment through a continual sense–decide–respond control loop. Most commonly, the decide step occurs in a central processing unit; however, the stiffness mismatch between rigid electronics and the compliant bodies of soft robots can impede integration of t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142273/ https://www.ncbi.nlm.nih.gov/pubmed/29915077 http://dx.doi.org/10.1073/pnas.1805122115 |
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author | Treml, Benjamin Gillman, Andrew Buskohl, Philip Vaia, Richard |
author_facet | Treml, Benjamin Gillman, Andrew Buskohl, Philip Vaia, Richard |
author_sort | Treml, Benjamin |
collection | PubMed |
description | Robots autonomously interact with their environment through a continual sense–decide–respond control loop. Most commonly, the decide step occurs in a central processing unit; however, the stiffness mismatch between rigid electronics and the compliant bodies of soft robots can impede integration of these systems. We develop a framework for programmable mechanical computation embedded into the structure of soft robots that can augment conventional digital electronic control schemes. Using an origami waterbomb as an experimental platform, we demonstrate a 1-bit mechanical storage device that writes, erases, and rewrites itself in response to a time-varying environmental signal. Further, we show that mechanical coupling between connected origami units can be used to program the behavior of a mechanical bit, produce logic gates such as AND, OR, and three input majority gates, and transmit signals between mechanologic gates. Embedded mechanologic provides a route to add autonomy and intelligence in soft robots and machines. |
format | Online Article Text |
id | pubmed-6142273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-61422732018-09-19 Origami mechanologic Treml, Benjamin Gillman, Andrew Buskohl, Philip Vaia, Richard Proc Natl Acad Sci U S A Physical Sciences Robots autonomously interact with their environment through a continual sense–decide–respond control loop. Most commonly, the decide step occurs in a central processing unit; however, the stiffness mismatch between rigid electronics and the compliant bodies of soft robots can impede integration of these systems. We develop a framework for programmable mechanical computation embedded into the structure of soft robots that can augment conventional digital electronic control schemes. Using an origami waterbomb as an experimental platform, we demonstrate a 1-bit mechanical storage device that writes, erases, and rewrites itself in response to a time-varying environmental signal. Further, we show that mechanical coupling between connected origami units can be used to program the behavior of a mechanical bit, produce logic gates such as AND, OR, and three input majority gates, and transmit signals between mechanologic gates. Embedded mechanologic provides a route to add autonomy and intelligence in soft robots and machines. National Academy of Sciences 2018-07-03 2018-06-18 /pmc/articles/PMC6142273/ /pubmed/29915077 http://dx.doi.org/10.1073/pnas.1805122115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access 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 Treml, Benjamin Gillman, Andrew Buskohl, Philip Vaia, Richard Origami mechanologic |
title | Origami mechanologic |
title_full | Origami mechanologic |
title_fullStr | Origami mechanologic |
title_full_unstemmed | Origami mechanologic |
title_short | Origami mechanologic |
title_sort | origami mechanologic |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142273/ https://www.ncbi.nlm.nih.gov/pubmed/29915077 http://dx.doi.org/10.1073/pnas.1805122115 |
work_keys_str_mv | AT tremlbenjamin origamimechanologic AT gillmanandrew origamimechanologic AT buskohlphilip origamimechanologic AT vaiarichard origamimechanologic |