Targeted Feature Recognition Using Mechanical Spatial Filtering with a Low-Cost Compliant Strain Sensor

Abstract A tactile sensing architecture is presented for detection of surface features that have a particular target size, and the concept is demonstrated with a braille pattern. The approach is akin to an inverse of mechanical profilometry. The sensing structure is constructed by suspending a stret...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Eli M. Barnett, Julian J. Lofton, Miao Yu, Hugh A. Bruck, Elisabeth Smela
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e2d5bab9d4a24841a4b2179825006925
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e2d5bab9d4a24841a4b2179825006925
record_format	dspace
spelling	oai:doaj.org-article:e2d5bab9d4a24841a4b21798250069252021-12-02T11:41:00ZTargeted Feature Recognition Using Mechanical Spatial Filtering with a Low-Cost Compliant Strain Sensor10.1038/s41598-017-05341-w2045-2322https://doaj.org/article/e2d5bab9d4a24841a4b21798250069252017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05341-whttps://doaj.org/toc/2045-2322Abstract A tactile sensing architecture is presented for detection of surface features that have a particular target size, and the concept is demonstrated with a braille pattern. The approach is akin to an inverse of mechanical profilometry. The sensing structure is constructed by suspending a stretchable strain-sensing membrane over a cavity. The structure is moved over the surface, and a signal is generated through mechanical spatial filtering if a feature is small enough to penetrate into the cavity. This simple design is tailorable and can be realized by standard machining or 3D printing. Images of target features can be produced with even a low-cost compliant sensor. In this work a disposable elastomeric piezoresistive strain sensor was used over a cylindrical “finger” part with a groove having a width corresponding to the braille dot size. A model was developed to help understand the working principle and guide finger design, revealing amplification when the cavity matches the feature size. The new sensing concept has the advantages of being easily reconfigured for a variety of sensing problems and retrofitted to a wide range of robotic hands, as well as compatibility with many compliant sensor types.Eli M. BarnettJulian J. LoftonMiao YuHugh A. BruckElisabeth SmelaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Eli M. Barnett Julian J. Lofton Miao Yu Hugh A. Bruck Elisabeth Smela Targeted Feature Recognition Using Mechanical Spatial Filtering with a Low-Cost Compliant Strain Sensor
description	Abstract A tactile sensing architecture is presented for detection of surface features that have a particular target size, and the concept is demonstrated with a braille pattern. The approach is akin to an inverse of mechanical profilometry. The sensing structure is constructed by suspending a stretchable strain-sensing membrane over a cavity. The structure is moved over the surface, and a signal is generated through mechanical spatial filtering if a feature is small enough to penetrate into the cavity. This simple design is tailorable and can be realized by standard machining or 3D printing. Images of target features can be produced with even a low-cost compliant sensor. In this work a disposable elastomeric piezoresistive strain sensor was used over a cylindrical “finger” part with a groove having a width corresponding to the braille dot size. A model was developed to help understand the working principle and guide finger design, revealing amplification when the cavity matches the feature size. The new sensing concept has the advantages of being easily reconfigured for a variety of sensing problems and retrofitted to a wide range of robotic hands, as well as compatibility with many compliant sensor types.
format	article
author	Eli M. Barnett Julian J. Lofton Miao Yu Hugh A. Bruck Elisabeth Smela
author_facet	Eli M. Barnett Julian J. Lofton Miao Yu Hugh A. Bruck Elisabeth Smela
author_sort	Eli M. Barnett
title	Targeted Feature Recognition Using Mechanical Spatial Filtering with a Low-Cost Compliant Strain Sensor
title_short	Targeted Feature Recognition Using Mechanical Spatial Filtering with a Low-Cost Compliant Strain Sensor
title_full	Targeted Feature Recognition Using Mechanical Spatial Filtering with a Low-Cost Compliant Strain Sensor
title_fullStr	Targeted Feature Recognition Using Mechanical Spatial Filtering with a Low-Cost Compliant Strain Sensor
title_full_unstemmed	Targeted Feature Recognition Using Mechanical Spatial Filtering with a Low-Cost Compliant Strain Sensor
title_sort	targeted feature recognition using mechanical spatial filtering with a low-cost compliant strain sensor
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/e2d5bab9d4a24841a4b2179825006925
work_keys_str_mv	AT elimbarnett targetedfeaturerecognitionusingmechanicalspatialfilteringwithalowcostcompliantstrainsensor AT julianjlofton targetedfeaturerecognitionusingmechanicalspatialfilteringwithalowcostcompliantstrainsensor AT miaoyu targetedfeaturerecognitionusingmechanicalspatialfilteringwithalowcostcompliantstrainsensor AT hughabruck targetedfeaturerecognitionusingmechanicalspatialfilteringwithalowcostcompliantstrainsensor AT elisabethsmela targetedfeaturerecognitionusingmechanicalspatialfilteringwithalowcostcompliantstrainsensor
_version_	1718395491314565120

Targeted Feature Recognition Using Mechanical Spatial Filtering with a Low-Cost Compliant Strain Sensor

Ejemplares similares