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Efficient reciprocating burrowing with anisotropic origami feet

Origami folding is an ancient art which holds promise for creating compliant and adaptable mechanisms, but has yet to be extensively studied for granular environments. At the same time, biological systems exploit anisotropic body forces for locomotion, such as the frictional anisotropy of a snake’s...

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Autores principales: Kim, Sareum, Treers, Laura K., Huh, Tae Myung, Stuart, Hannah S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433778/
https://www.ncbi.nlm.nih.gov/pubmed/37600474
http://dx.doi.org/10.3389/frobt.2023.1214160
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author Kim, Sareum
Treers, Laura K.
Huh, Tae Myung
Stuart, Hannah S.
author_facet Kim, Sareum
Treers, Laura K.
Huh, Tae Myung
Stuart, Hannah S.
author_sort Kim, Sareum
collection PubMed
description Origami folding is an ancient art which holds promise for creating compliant and adaptable mechanisms, but has yet to be extensively studied for granular environments. At the same time, biological systems exploit anisotropic body forces for locomotion, such as the frictional anisotropy of a snake’s skin. In this work, we explore how foldable origami feet can be used to passively induce anisotropic force response in granular media, through varying their resistive plane. We present a reciprocating burrower which transfers pure symmetric linear motion into directed burrowing motion using a pair of deployable origami feet on either end. We also present an application of the reduced order model granular Resistive Force Theory to inform the design of deformable structures, and compare results with those from experiments and Discrete Element Method simulations. Through a single actuator, and without the use of advanced controllers or sensors, these origami feet enable burrowing locomotion. In this paper, we achieve burrowing translation ratios—net forward motion to overall linear actuation—over 46% by changing foot design without altering overall foot size. Specifically, anisotropic folding foot parameters should be tuned for optimal performance given a linear actuator’s stroke length.
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spelling pubmed-104337782023-08-18 Efficient reciprocating burrowing with anisotropic origami feet Kim, Sareum Treers, Laura K. Huh, Tae Myung Stuart, Hannah S. Front Robot AI Robotics and AI Origami folding is an ancient art which holds promise for creating compliant and adaptable mechanisms, but has yet to be extensively studied for granular environments. At the same time, biological systems exploit anisotropic body forces for locomotion, such as the frictional anisotropy of a snake’s skin. In this work, we explore how foldable origami feet can be used to passively induce anisotropic force response in granular media, through varying their resistive plane. We present a reciprocating burrower which transfers pure symmetric linear motion into directed burrowing motion using a pair of deployable origami feet on either end. We also present an application of the reduced order model granular Resistive Force Theory to inform the design of deformable structures, and compare results with those from experiments and Discrete Element Method simulations. Through a single actuator, and without the use of advanced controllers or sensors, these origami feet enable burrowing locomotion. In this paper, we achieve burrowing translation ratios—net forward motion to overall linear actuation—over 46% by changing foot design without altering overall foot size. Specifically, anisotropic folding foot parameters should be tuned for optimal performance given a linear actuator’s stroke length. Frontiers Media S.A. 2023-08-02 /pmc/articles/PMC10433778/ /pubmed/37600474 http://dx.doi.org/10.3389/frobt.2023.1214160 Text en Copyright © 2023 Kim, Treers, Huh and Stuart. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Kim, Sareum
Treers, Laura K.
Huh, Tae Myung
Stuart, Hannah S.
Efficient reciprocating burrowing with anisotropic origami feet
title Efficient reciprocating burrowing with anisotropic origami feet
title_full Efficient reciprocating burrowing with anisotropic origami feet
title_fullStr Efficient reciprocating burrowing with anisotropic origami feet
title_full_unstemmed Efficient reciprocating burrowing with anisotropic origami feet
title_short Efficient reciprocating burrowing with anisotropic origami feet
title_sort efficient reciprocating burrowing with anisotropic origami feet
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433778/
https://www.ncbi.nlm.nih.gov/pubmed/37600474
http://dx.doi.org/10.3389/frobt.2023.1214160
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