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Optimization and fabrication of programmable domains for soft magnetic robots: A review
Driven by the aim of realizing functional robotic systems at the milli- and submillimetre scale for biomedical applications, the area of magnetically driven soft devices has received significant recent attention. This has resulted in a new generation of magnetically controlled soft robots with patte...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729867/ https://www.ncbi.nlm.nih.gov/pubmed/36504496 http://dx.doi.org/10.3389/frobt.2022.1040984 |
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author | Bacchetti, Alistair Lloyd, Peter Taccola, Silvia Fakhoury, Evan Cochran, Sandy Harris, Russell A. Valdastri, Pietro Chandler, James H. |
author_facet | Bacchetti, Alistair Lloyd, Peter Taccola, Silvia Fakhoury, Evan Cochran, Sandy Harris, Russell A. Valdastri, Pietro Chandler, James H. |
author_sort | Bacchetti, Alistair |
collection | PubMed |
description | Driven by the aim of realizing functional robotic systems at the milli- and submillimetre scale for biomedical applications, the area of magnetically driven soft devices has received significant recent attention. This has resulted in a new generation of magnetically controlled soft robots with patterns of embedded, programmable domains throughout their structures. This type of programmable magnetic profiling equips magnetic soft robots with shape programmable memory and can be achieved through the distribution of discrete domains (voxels) with variable magnetic densities and magnetization directions. This approach has produced highly compliant, and often bio-inspired structures that are well suited to biomedical applications at small scales, including microfluidic transport and shape-forming surgical catheters. However, to unlock the full potential of magnetic soft robots with improved designs and control, significant challenges remain in their compositional optimization and fabrication. This review considers recent advances and challenges in the interlinked optimization and fabrication aspects of programmable domains within magnetic soft robots. Through a combination of improvements in the computational capacity of novel optimization methods with advances in the resolution, material selection and automation of existing and novel fabrication methods, significant further developments in programmable magnetic soft robots may be realized. |
format | Online Article Text |
id | pubmed-9729867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97298672022-12-09 Optimization and fabrication of programmable domains for soft magnetic robots: A review Bacchetti, Alistair Lloyd, Peter Taccola, Silvia Fakhoury, Evan Cochran, Sandy Harris, Russell A. Valdastri, Pietro Chandler, James H. Front Robot AI Robotics and AI Driven by the aim of realizing functional robotic systems at the milli- and submillimetre scale for biomedical applications, the area of magnetically driven soft devices has received significant recent attention. This has resulted in a new generation of magnetically controlled soft robots with patterns of embedded, programmable domains throughout their structures. This type of programmable magnetic profiling equips magnetic soft robots with shape programmable memory and can be achieved through the distribution of discrete domains (voxels) with variable magnetic densities and magnetization directions. This approach has produced highly compliant, and often bio-inspired structures that are well suited to biomedical applications at small scales, including microfluidic transport and shape-forming surgical catheters. However, to unlock the full potential of magnetic soft robots with improved designs and control, significant challenges remain in their compositional optimization and fabrication. This review considers recent advances and challenges in the interlinked optimization and fabrication aspects of programmable domains within magnetic soft robots. Through a combination of improvements in the computational capacity of novel optimization methods with advances in the resolution, material selection and automation of existing and novel fabrication methods, significant further developments in programmable magnetic soft robots may be realized. Frontiers Media S.A. 2022-11-24 /pmc/articles/PMC9729867/ /pubmed/36504496 http://dx.doi.org/10.3389/frobt.2022.1040984 Text en Copyright © 2022 Bacchetti, Lloyd, Taccola, Fakhoury, Cochran, Harris, Valdastri and Chandler. 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 Bacchetti, Alistair Lloyd, Peter Taccola, Silvia Fakhoury, Evan Cochran, Sandy Harris, Russell A. Valdastri, Pietro Chandler, James H. Optimization and fabrication of programmable domains for soft magnetic robots: A review |
title | Optimization and fabrication of programmable domains for soft magnetic robots: A review |
title_full | Optimization and fabrication of programmable domains for soft magnetic robots: A review |
title_fullStr | Optimization and fabrication of programmable domains for soft magnetic robots: A review |
title_full_unstemmed | Optimization and fabrication of programmable domains for soft magnetic robots: A review |
title_short | Optimization and fabrication of programmable domains for soft magnetic robots: A review |
title_sort | optimization and fabrication of programmable domains for soft magnetic robots: a review |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729867/ https://www.ncbi.nlm.nih.gov/pubmed/36504496 http://dx.doi.org/10.3389/frobt.2022.1040984 |
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