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Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots
Soft machines typically exhibit slow locomotion speed and low manipulation strength because of intrinsic limitations of soft materials. Here, we present a generic design principle that harnesses mechanical instability for a variety of spine-inspired fast and strong soft machines. Unlike most current...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7209986/ https://www.ncbi.nlm.nih.gov/pubmed/32494714 http://dx.doi.org/10.1126/sciadv.aaz6912 |
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author | Tang, Yichao Chi, Yinding Sun, Jiefeng Huang, Tzu-Hao Maghsoudi, Omid H. Spence, Andrew Zhao, Jianguo Su, Hao Yin, Jie |
author_facet | Tang, Yichao Chi, Yinding Sun, Jiefeng Huang, Tzu-Hao Maghsoudi, Omid H. Spence, Andrew Zhao, Jianguo Su, Hao Yin, Jie |
author_sort | Tang, Yichao |
collection | PubMed |
description | Soft machines typically exhibit slow locomotion speed and low manipulation strength because of intrinsic limitations of soft materials. Here, we present a generic design principle that harnesses mechanical instability for a variety of spine-inspired fast and strong soft machines. Unlike most current soft robots that are designed as inherently and unimodally stable, our design leverages tunable snap-through bistability to fully explore the ability of soft robots to rapidly store and release energy within tens of milliseconds. We demonstrate this generic design principle with three high-performance soft machines: High-speed cheetah-like galloping crawlers with locomotion speeds of 2.68 body length/s, high-speed underwater swimmers (0.78 body length/s), and tunable low-to-high-force soft grippers with over 1 to 10(3) stiffness modulation (maximum load capacity is 11.4 kg). Our study establishes a new generic design paradigm of next-generation high-performance soft robots that are applicable for multifunctionality, different actuation methods, and materials at multiscales. |
format | Online Article Text |
id | pubmed-7209986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-72099862020-06-02 Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots Tang, Yichao Chi, Yinding Sun, Jiefeng Huang, Tzu-Hao Maghsoudi, Omid H. Spence, Andrew Zhao, Jianguo Su, Hao Yin, Jie Sci Adv Research Articles Soft machines typically exhibit slow locomotion speed and low manipulation strength because of intrinsic limitations of soft materials. Here, we present a generic design principle that harnesses mechanical instability for a variety of spine-inspired fast and strong soft machines. Unlike most current soft robots that are designed as inherently and unimodally stable, our design leverages tunable snap-through bistability to fully explore the ability of soft robots to rapidly store and release energy within tens of milliseconds. We demonstrate this generic design principle with three high-performance soft machines: High-speed cheetah-like galloping crawlers with locomotion speeds of 2.68 body length/s, high-speed underwater swimmers (0.78 body length/s), and tunable low-to-high-force soft grippers with over 1 to 10(3) stiffness modulation (maximum load capacity is 11.4 kg). Our study establishes a new generic design paradigm of next-generation high-performance soft robots that are applicable for multifunctionality, different actuation methods, and materials at multiscales. American Association for the Advancement of Science 2020-05-08 /pmc/articles/PMC7209986/ /pubmed/32494714 http://dx.doi.org/10.1126/sciadv.aaz6912 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Tang, Yichao Chi, Yinding Sun, Jiefeng Huang, Tzu-Hao Maghsoudi, Omid H. Spence, Andrew Zhao, Jianguo Su, Hao Yin, Jie Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots |
title | Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots |
title_full | Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots |
title_fullStr | Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots |
title_full_unstemmed | Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots |
title_short | Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots |
title_sort | leveraging elastic instabilities for amplified performance: spine-inspired high-speed and high-force soft robots |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7209986/ https://www.ncbi.nlm.nih.gov/pubmed/32494714 http://dx.doi.org/10.1126/sciadv.aaz6912 |
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