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Origami-based integration of robots that sense, decide, and respond
Origami-inspired engineering has enabled intelligent materials and structures to process and react to environmental stimuli. However, it is challenging to achieve complete sense-decide-act loops in origami materials for autonomous interaction with environments, mainly due to the lack of information...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070436/ https://www.ncbi.nlm.nih.gov/pubmed/37012246 http://dx.doi.org/10.1038/s41467-023-37158-9 |
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author | Yan, Wenzhong Li, Shuguang Deguchi, Mauricio Zheng, Zhaoliang Rus, Daniela Mehta, Ankur |
author_facet | Yan, Wenzhong Li, Shuguang Deguchi, Mauricio Zheng, Zhaoliang Rus, Daniela Mehta, Ankur |
author_sort | Yan, Wenzhong |
collection | PubMed |
description | Origami-inspired engineering has enabled intelligent materials and structures to process and react to environmental stimuli. However, it is challenging to achieve complete sense-decide-act loops in origami materials for autonomous interaction with environments, mainly due to the lack of information processing units that can interface with sensing and actuation. Here, we introduce an integrated origami-based process to create autonomous robots by embedding sensing, computing, and actuating in compliant, conductive materials. By combining flexible bistable mechanisms and conductive thermal artificial muscles, we realize origami multiplexed switches and configure them to generate digital logic gates, memory bits, and thus integrated autonomous origami robots. We demonstrate with a flytrap-inspired robot that captures ‘living prey’, an untethered crawler that avoids obstacles, and a wheeled vehicle that locomotes with reprogrammable trajectories. Our method provides routes to achieve autonomy for origami robots through tight functional integration in compliant, conductive materials. |
format | Online Article Text |
id | pubmed-10070436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100704362023-04-05 Origami-based integration of robots that sense, decide, and respond Yan, Wenzhong Li, Shuguang Deguchi, Mauricio Zheng, Zhaoliang Rus, Daniela Mehta, Ankur Nat Commun Article Origami-inspired engineering has enabled intelligent materials and structures to process and react to environmental stimuli. However, it is challenging to achieve complete sense-decide-act loops in origami materials for autonomous interaction with environments, mainly due to the lack of information processing units that can interface with sensing and actuation. Here, we introduce an integrated origami-based process to create autonomous robots by embedding sensing, computing, and actuating in compliant, conductive materials. By combining flexible bistable mechanisms and conductive thermal artificial muscles, we realize origami multiplexed switches and configure them to generate digital logic gates, memory bits, and thus integrated autonomous origami robots. We demonstrate with a flytrap-inspired robot that captures ‘living prey’, an untethered crawler that avoids obstacles, and a wheeled vehicle that locomotes with reprogrammable trajectories. Our method provides routes to achieve autonomy for origami robots through tight functional integration in compliant, conductive materials. Nature Publishing Group UK 2023-04-03 /pmc/articles/PMC10070436/ /pubmed/37012246 http://dx.doi.org/10.1038/s41467-023-37158-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yan, Wenzhong Li, Shuguang Deguchi, Mauricio Zheng, Zhaoliang Rus, Daniela Mehta, Ankur Origami-based integration of robots that sense, decide, and respond |
title | Origami-based integration of robots that sense, decide, and respond |
title_full | Origami-based integration of robots that sense, decide, and respond |
title_fullStr | Origami-based integration of robots that sense, decide, and respond |
title_full_unstemmed | Origami-based integration of robots that sense, decide, and respond |
title_short | Origami-based integration of robots that sense, decide, and respond |
title_sort | origami-based integration of robots that sense, decide, and respond |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070436/ https://www.ncbi.nlm.nih.gov/pubmed/37012246 http://dx.doi.org/10.1038/s41467-023-37158-9 |
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