Physical reservoir computing with origami and its application to robotic crawling

Abstract A new paradigm called physical reservoir computing has recently emerged, where the nonlinear dynamics of high-dimensional and fixed physical systems are harnessed as a computational resource to achieve complex tasks. Via extensive simulations based on a dynamic truss-frame model, this study...

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Autores principales:	Priyanka Bhovad, Suyi Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/644b405273994bf4837da5046cfd5cb4
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spelling	oai:doaj.org-article:644b405273994bf4837da5046cfd5cb42021-12-02T16:07:03ZPhysical reservoir computing with origami and its application to robotic crawling10.1038/s41598-021-92257-12045-2322https://doaj.org/article/644b405273994bf4837da5046cfd5cb42021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92257-1https://doaj.org/toc/2045-2322Abstract A new paradigm called physical reservoir computing has recently emerged, where the nonlinear dynamics of high-dimensional and fixed physical systems are harnessed as a computational resource to achieve complex tasks. Via extensive simulations based on a dynamic truss-frame model, this study shows that an origami structure can perform as a dynamic reservoir with sufficient computing power to emulate high-order nonlinear systems, generate stable limit cycles, and modulate outputs according to dynamic inputs. This study also uncovers the linkages between the origami reservoir’s physical designs and its computing power, offering a guideline to optimize the computing performance. Comprehensive parametric studies show that selecting optimal feedback crease distribution and fine-tuning the underlying origami folding designs are the most effective approach to improve computing performance. Furthermore, this study shows how origami’s physical reservoir computing power can apply to soft robotic control problems by a case study of earthworm-like peristaltic crawling without traditional controllers. These results can pave the way for origami-based robots with embodied mechanical intelligence.Priyanka BhovadSuyi LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Priyanka Bhovad Suyi Li Physical reservoir computing with origami and its application to robotic crawling
description	Abstract A new paradigm called physical reservoir computing has recently emerged, where the nonlinear dynamics of high-dimensional and fixed physical systems are harnessed as a computational resource to achieve complex tasks. Via extensive simulations based on a dynamic truss-frame model, this study shows that an origami structure can perform as a dynamic reservoir with sufficient computing power to emulate high-order nonlinear systems, generate stable limit cycles, and modulate outputs according to dynamic inputs. This study also uncovers the linkages between the origami reservoir’s physical designs and its computing power, offering a guideline to optimize the computing performance. Comprehensive parametric studies show that selecting optimal feedback crease distribution and fine-tuning the underlying origami folding designs are the most effective approach to improve computing performance. Furthermore, this study shows how origami’s physical reservoir computing power can apply to soft robotic control problems by a case study of earthworm-like peristaltic crawling without traditional controllers. These results can pave the way for origami-based robots with embodied mechanical intelligence.
format	article
author	Priyanka Bhovad Suyi Li
author_facet	Priyanka Bhovad Suyi Li
author_sort	Priyanka Bhovad
title	Physical reservoir computing with origami and its application to robotic crawling
title_short	Physical reservoir computing with origami and its application to robotic crawling
title_full	Physical reservoir computing with origami and its application to robotic crawling
title_fullStr	Physical reservoir computing with origami and its application to robotic crawling
title_full_unstemmed	Physical reservoir computing with origami and its application to robotic crawling
title_sort	physical reservoir computing with origami and its application to robotic crawling
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/644b405273994bf4837da5046cfd5cb4
work_keys_str_mv	AT priyankabhovad physicalreservoircomputingwithorigamianditsapplicationtoroboticcrawling AT suyili physicalreservoircomputingwithorigamianditsapplicationtoroboticcrawling
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Physical reservoir computing with origami and its application to robotic crawling

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