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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...

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Autores principales: Tang, Yichao, Chi, Yinding, Sun, Jiefeng, Huang, Tzu-Hao, Maghsoudi, Omid H., Spence, Andrew, Zhao, Jianguo, Su, Hao, Yin, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
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.
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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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