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A 3D-Printable Robotic Gripper Based on Thick Panel Origami

Origami has been a source of inspiration for the design of robots because it can be easily produced using 2D materials and its motions can be well quantified. However, most applications to date have utilised origami patterns for thin sheet materials with a negligible thickness. If the thickness of t...

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Autores principales: Liu, Chenying, Maiolino, Perla, You, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455838/
https://www.ncbi.nlm.nih.gov/pubmed/34568438
http://dx.doi.org/10.3389/frobt.2021.730227
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author Liu, Chenying
Maiolino, Perla
You, Zhong
author_facet Liu, Chenying
Maiolino, Perla
You, Zhong
author_sort Liu, Chenying
collection PubMed
description Origami has been a source of inspiration for the design of robots because it can be easily produced using 2D materials and its motions can be well quantified. However, most applications to date have utilised origami patterns for thin sheet materials with a negligible thickness. If the thickness of the material cannot be neglected, commonly known as the thick panel origami, the creases need to be redesigned. One approach is to place creases either on top or bottom surfaces of a sheet of finite thickness. As a result, spherical linkages in the zero-thickness origami are replaced by spatial linkages in the thick panel one, leading to a reduction in the overall degrees of freedom (DOFs). For instance, a waterbomb pattern for a zero-thickness sheet shows multiple DOFs while its thick panel counterpart has only one DOF, which significantly reduces the complexity of motion control. In this article, we present a robotic gripper derived from a unit that is based on the thick panel six-crease waterbomb origami. Four such units complete the gripper. Kinematically, each unit is a plane-symmetric Bricard linkage, and the gripper can be modelled as an assembly of Bricard linkages, giving it single mobility. A gripper prototype was made using 3D printing technology, and its motion was controlled by a set of tendons tied to a single motor. Detailed kinematic modelling was done, and experiments were carried out to characterise the gripper’s behaviours. The positions of the tips on the gripper, the actuation force on tendons, and the grasping force generated on objects were analysed and measured. The experimental results matched well with the analytical ones, and the repeated tests demonstrate that the concept is viable. Furthermore, we observed that the gripper was also capable of grasping non-symmetrical objects, and such performance is discussed in detail in the paper.
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spelling pubmed-84558382021-09-23 A 3D-Printable Robotic Gripper Based on Thick Panel Origami Liu, Chenying Maiolino, Perla You, Zhong Front Robot AI Robotics and AI Origami has been a source of inspiration for the design of robots because it can be easily produced using 2D materials and its motions can be well quantified. However, most applications to date have utilised origami patterns for thin sheet materials with a negligible thickness. If the thickness of the material cannot be neglected, commonly known as the thick panel origami, the creases need to be redesigned. One approach is to place creases either on top or bottom surfaces of a sheet of finite thickness. As a result, spherical linkages in the zero-thickness origami are replaced by spatial linkages in the thick panel one, leading to a reduction in the overall degrees of freedom (DOFs). For instance, a waterbomb pattern for a zero-thickness sheet shows multiple DOFs while its thick panel counterpart has only one DOF, which significantly reduces the complexity of motion control. In this article, we present a robotic gripper derived from a unit that is based on the thick panel six-crease waterbomb origami. Four such units complete the gripper. Kinematically, each unit is a plane-symmetric Bricard linkage, and the gripper can be modelled as an assembly of Bricard linkages, giving it single mobility. A gripper prototype was made using 3D printing technology, and its motion was controlled by a set of tendons tied to a single motor. Detailed kinematic modelling was done, and experiments were carried out to characterise the gripper’s behaviours. The positions of the tips on the gripper, the actuation force on tendons, and the grasping force generated on objects were analysed and measured. The experimental results matched well with the analytical ones, and the repeated tests demonstrate that the concept is viable. Furthermore, we observed that the gripper was also capable of grasping non-symmetrical objects, and such performance is discussed in detail in the paper. Frontiers Media S.A. 2021-09-08 /pmc/articles/PMC8455838/ /pubmed/34568438 http://dx.doi.org/10.3389/frobt.2021.730227 Text en Copyright © 2021 Liu, Maiolino and You. 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
Liu, Chenying
Maiolino, Perla
You, Zhong
A 3D-Printable Robotic Gripper Based on Thick Panel Origami
title A 3D-Printable Robotic Gripper Based on Thick Panel Origami
title_full A 3D-Printable Robotic Gripper Based on Thick Panel Origami
title_fullStr A 3D-Printable Robotic Gripper Based on Thick Panel Origami
title_full_unstemmed A 3D-Printable Robotic Gripper Based on Thick Panel Origami
title_short A 3D-Printable Robotic Gripper Based on Thick Panel Origami
title_sort 3d-printable robotic gripper based on thick panel origami
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455838/
https://www.ncbi.nlm.nih.gov/pubmed/34568438
http://dx.doi.org/10.3389/frobt.2021.730227
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