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The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies
Tactile sensing is an essential component in human–robot interaction and object manipulation. Soft sensors allow for safe interaction and improved gripping performance. Here we present the TacTip family of sensors: a range of soft optical tactile sensors with various morphologies fabricated through...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905869/ https://www.ncbi.nlm.nih.gov/pubmed/29297773 http://dx.doi.org/10.1089/soro.2017.0052 |
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author | Ward-Cherrier, Benjamin Pestell, Nicholas Cramphorn, Luke Winstone, Benjamin Giannaccini, Maria Elena Rossiter, Jonathan Lepora, Nathan F. |
author_facet | Ward-Cherrier, Benjamin Pestell, Nicholas Cramphorn, Luke Winstone, Benjamin Giannaccini, Maria Elena Rossiter, Jonathan Lepora, Nathan F. |
author_sort | Ward-Cherrier, Benjamin |
collection | PubMed |
description | Tactile sensing is an essential component in human–robot interaction and object manipulation. Soft sensors allow for safe interaction and improved gripping performance. Here we present the TacTip family of sensors: a range of soft optical tactile sensors with various morphologies fabricated through dual-material 3D printing. All of these sensors are inspired by the same biomimetic design principle: transducing deformation of the sensing surface via movement of pins analogous to the function of intermediate ridges within the human fingertip. The performance of the TacTip, TacTip-GR2, TacTip-M2, and TacCylinder sensors is here evaluated and shown to attain submillimeter accuracy on a rolling cylinder task, representing greater than 10-fold super-resolved acuity. A version of the TacTip sensor has also been open-sourced, enabling other laboratories to adopt it as a platform for tactile sensing and manipulation research. These sensors are suitable for real-world applications in tactile perception, exploration, and manipulation, and will enable further research and innovation in the field of soft tactile sensing. |
format | Online Article Text |
id | pubmed-5905869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Mary Ann Liebert, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59058692018-04-19 The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies Ward-Cherrier, Benjamin Pestell, Nicholas Cramphorn, Luke Winstone, Benjamin Giannaccini, Maria Elena Rossiter, Jonathan Lepora, Nathan F. Soft Robot Original Articles Tactile sensing is an essential component in human–robot interaction and object manipulation. Soft sensors allow for safe interaction and improved gripping performance. Here we present the TacTip family of sensors: a range of soft optical tactile sensors with various morphologies fabricated through dual-material 3D printing. All of these sensors are inspired by the same biomimetic design principle: transducing deformation of the sensing surface via movement of pins analogous to the function of intermediate ridges within the human fingertip. The performance of the TacTip, TacTip-GR2, TacTip-M2, and TacCylinder sensors is here evaluated and shown to attain submillimeter accuracy on a rolling cylinder task, representing greater than 10-fold super-resolved acuity. A version of the TacTip sensor has also been open-sourced, enabling other laboratories to adopt it as a platform for tactile sensing and manipulation research. These sensors are suitable for real-world applications in tactile perception, exploration, and manipulation, and will enable further research and innovation in the field of soft tactile sensing. Mary Ann Liebert, Inc. 2018-04-01 2018-04-01 /pmc/articles/PMC5905869/ /pubmed/29297773 http://dx.doi.org/10.1089/soro.2017.0052 Text en © Benjamin Ward-Cherrier et al. 2018; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Ward-Cherrier, Benjamin Pestell, Nicholas Cramphorn, Luke Winstone, Benjamin Giannaccini, Maria Elena Rossiter, Jonathan Lepora, Nathan F. The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies |
title | The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies |
title_full | The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies |
title_fullStr | The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies |
title_full_unstemmed | The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies |
title_short | The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies |
title_sort | tactip family: soft optical tactile sensors with 3d-printed biomimetic morphologies |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905869/ https://www.ncbi.nlm.nih.gov/pubmed/29297773 http://dx.doi.org/10.1089/soro.2017.0052 |
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