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Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics
Sensor design for soft robots is a challenging problem because of the wide range of design parameters (e.g., geometry, material, actuation type, etc.) critical to their function. While conventional rigid sensors work effectively for soft robotics in specific situations, sensors that are directly int...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805991/ https://www.ncbi.nlm.nih.gov/pubmed/33501046 http://dx.doi.org/10.3389/frobt.2019.00030 |
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author | Shih, Benjamin Christianson, Caleb Gillespie, Kyle Lee, Sebastian Mayeda, Jason Huo, Zhaoyuan Tolley, Michael T. |
author_facet | Shih, Benjamin Christianson, Caleb Gillespie, Kyle Lee, Sebastian Mayeda, Jason Huo, Zhaoyuan Tolley, Michael T. |
author_sort | Shih, Benjamin |
collection | PubMed |
description | Sensor design for soft robots is a challenging problem because of the wide range of design parameters (e.g., geometry, material, actuation type, etc.) critical to their function. While conventional rigid sensors work effectively for soft robotics in specific situations, sensors that are directly integrated into the bodies of soft robots could help improve both their exteroceptive and interoceptive capabilities. To address this challenge, we designed sensors that can be co-fabricated with soft robot bodies using commercial 3D printers, without additional modification. We describe an approach to the design and fabrication of compliant, resistive soft sensors using a Connex3 Objet350 multimaterial printer and investigated an analytical comparison to sensors of similar geometries. The sensors consist of layers of commercial photopolymers with varying conductivities. We characterized the conductivity of TangoPlus, TangoBlackPlus, VeroClear, and Support705 materials under various conditions and demonstrate applications in which we can take advantage of these embedded sensors. |
format | Online Article Text |
id | pubmed-7805991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78059912021-01-25 Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics Shih, Benjamin Christianson, Caleb Gillespie, Kyle Lee, Sebastian Mayeda, Jason Huo, Zhaoyuan Tolley, Michael T. Front Robot AI Robotics and AI Sensor design for soft robots is a challenging problem because of the wide range of design parameters (e.g., geometry, material, actuation type, etc.) critical to their function. While conventional rigid sensors work effectively for soft robotics in specific situations, sensors that are directly integrated into the bodies of soft robots could help improve both their exteroceptive and interoceptive capabilities. To address this challenge, we designed sensors that can be co-fabricated with soft robot bodies using commercial 3D printers, without additional modification. We describe an approach to the design and fabrication of compliant, resistive soft sensors using a Connex3 Objet350 multimaterial printer and investigated an analytical comparison to sensors of similar geometries. The sensors consist of layers of commercial photopolymers with varying conductivities. We characterized the conductivity of TangoPlus, TangoBlackPlus, VeroClear, and Support705 materials under various conditions and demonstrate applications in which we can take advantage of these embedded sensors. Frontiers Media S.A. 2019-04-30 /pmc/articles/PMC7805991/ /pubmed/33501046 http://dx.doi.org/10.3389/frobt.2019.00030 Text en Copyright © 2019 Shih, Christianson, Gillespie, Lee, Mayeda, Huo and Tolley. http://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 Shih, Benjamin Christianson, Caleb Gillespie, Kyle Lee, Sebastian Mayeda, Jason Huo, Zhaoyuan Tolley, Michael T. Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics |
title | Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics |
title_full | Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics |
title_fullStr | Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics |
title_full_unstemmed | Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics |
title_short | Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics |
title_sort | design considerations for 3d printed, soft, multimaterial resistive sensors for soft robotics |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805991/ https://www.ncbi.nlm.nih.gov/pubmed/33501046 http://dx.doi.org/10.3389/frobt.2019.00030 |
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