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Survey of Visual and Force/Tactile Control of Robots for Physical Interaction in Spain
Sensors provide robotic systems with the information required to perceive the changes that happen in unstructured environments and modify their actions accordingly. The robotic controllers which process and analyze this sensory information are usually based on three types of sensors (visual, force/t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267194/ https://www.ncbi.nlm.nih.gov/pubmed/22303146 http://dx.doi.org/10.3390/s91209689 |
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author | Garcia, Gabriel J. Corrales, Juan A. Pomares, Jorge Torres, Fernando |
author_facet | Garcia, Gabriel J. Corrales, Juan A. Pomares, Jorge Torres, Fernando |
author_sort | Garcia, Gabriel J. |
collection | PubMed |
description | Sensors provide robotic systems with the information required to perceive the changes that happen in unstructured environments and modify their actions accordingly. The robotic controllers which process and analyze this sensory information are usually based on three types of sensors (visual, force/torque and tactile) which identify the most widespread robotic control strategies: visual servoing control, force control and tactile control. This paper presents a detailed review on the sensor architectures, algorithmic techniques and applications which have been developed by Spanish researchers in order to implement these mono-sensor and multi-sensor controllers which combine several sensors. |
format | Online Article Text |
id | pubmed-3267194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32671942012-02-02 Survey of Visual and Force/Tactile Control of Robots for Physical Interaction in Spain Garcia, Gabriel J. Corrales, Juan A. Pomares, Jorge Torres, Fernando Sensors (Basel) Review Sensors provide robotic systems with the information required to perceive the changes that happen in unstructured environments and modify their actions accordingly. The robotic controllers which process and analyze this sensory information are usually based on three types of sensors (visual, force/torque and tactile) which identify the most widespread robotic control strategies: visual servoing control, force control and tactile control. This paper presents a detailed review on the sensor architectures, algorithmic techniques and applications which have been developed by Spanish researchers in order to implement these mono-sensor and multi-sensor controllers which combine several sensors. Molecular Diversity Preservation International (MDPI) 2009-12-02 /pmc/articles/PMC3267194/ /pubmed/22303146 http://dx.doi.org/10.3390/s91209689 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Review Garcia, Gabriel J. Corrales, Juan A. Pomares, Jorge Torres, Fernando Survey of Visual and Force/Tactile Control of Robots for Physical Interaction in Spain |
title | Survey of Visual and Force/Tactile Control of Robots for Physical Interaction in Spain |
title_full | Survey of Visual and Force/Tactile Control of Robots for Physical Interaction in Spain |
title_fullStr | Survey of Visual and Force/Tactile Control of Robots for Physical Interaction in Spain |
title_full_unstemmed | Survey of Visual and Force/Tactile Control of Robots for Physical Interaction in Spain |
title_short | Survey of Visual and Force/Tactile Control of Robots for Physical Interaction in Spain |
title_sort | survey of visual and force/tactile control of robots for physical interaction in spain |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267194/ https://www.ncbi.nlm.nih.gov/pubmed/22303146 http://dx.doi.org/10.3390/s91209689 |
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