SoftArmControl: Data and results of the identification and control of a soft robotic arm

Different csv files are available that include information about the pose (yaw and pitch angles) of the soft arm while varying the position of its motors. Three datasets are specifically available: experimental data used for the identification of the soft arm model; experimental data from the use of...

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Detalles Bibliográficos
Autores: Relaño, Carlos, Muñoz, Jorge, Monje Micharet, Concepción Alicia, Martínez de la Casa, Santiago, González, Daniel
Tipo de recurso: conjunto de datos
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consorcio Madroño
Repositorio:e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
OAI Identifier:doi:10.21950/J95IFS
Acceso en línea:https://doi.org/10.21950/J95IFS
Access Level:acceso abierto
Palabra clave:Computer and Information Science
Engineering
soft robotics
fractional order control
modeling of soft robots
control of soft robots
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oai_identifier_str doi:10.21950/J95IFS
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spelling SoftArmControl: Data and results of the identification and control of a soft robotic armRelaño, CarlosMuñoz, JorgeMonje Micharet, Concepción AliciaMartínez de la Casa, SantiagoGonzález, DanielComputer and Information ScienceEngineeringsoft roboticsfractional order controlmodeling of soft robotscontrol of soft robotsDifferent csv files are available that include information about the pose (yaw and pitch angles) of the soft arm while varying the position of its motors. Three datasets are specifically available: experimental data used for the identification of the soft arm model; experimental data from the use of different controllers for the soft arm to reach a pose; and experimental data from the use of different controllers for the soft arm to follow a trajectory.</br> Apart from the datasets, different codes have been also generated in Matlab and C++ to manage the datasets and obtain the results shown in the associated paper, mainly the following results: soft arm model identification results; control results when using a PI controller for the robot to reach a pose and follow a trajectory; control results when using a fractional-order controller for the robot to reach a pose and follow a trajectory.e-cienciaDatosMonje Micharet, Concepción Alicia2024info:eu-repo/semantics/datasetinfo:eu-repo/semantics/publishedVersionapplication/ziptext/plainhttps://doi.org/10.21950/J95IFSreponame:e-cienciaDatos, Repositorio de Datos del Consorcio Madroñoinstname:Consorcio MadroñoInglésinfo:eu-repo/grantAgreement/Ministerio de Economía, Industria y Competitividad (España)/PID2020-113194GB-I00/info:eu-repo/grantAgreement/Comunidad de Madrid/IND2020%2FIND-1739/info:eu-repo/semantics/openAccessCC-BY-NC-ND-4.0doi:10.21950/J95IFS2026-05-29T06:25:11Z
dc.title.none.fl_str_mv SoftArmControl: Data and results of the identification and control of a soft robotic arm
title SoftArmControl: Data and results of the identification and control of a soft robotic arm
spellingShingle SoftArmControl: Data and results of the identification and control of a soft robotic arm
Relaño, Carlos
Computer and Information Science
Engineering
soft robotics
fractional order control
modeling of soft robots
control of soft robots
title_short SoftArmControl: Data and results of the identification and control of a soft robotic arm
title_full SoftArmControl: Data and results of the identification and control of a soft robotic arm
title_fullStr SoftArmControl: Data and results of the identification and control of a soft robotic arm
title_full_unstemmed SoftArmControl: Data and results of the identification and control of a soft robotic arm
title_sort SoftArmControl: Data and results of the identification and control of a soft robotic arm
dc.creator.none.fl_str_mv Relaño, Carlos
Muñoz, Jorge
Monje Micharet, Concepción Alicia
Martínez de la Casa, Santiago
González, Daniel
author Relaño, Carlos
author_facet Relaño, Carlos
Muñoz, Jorge
Monje Micharet, Concepción Alicia
Martínez de la Casa, Santiago
González, Daniel
author_role author
author2 Muñoz, Jorge
Monje Micharet, Concepción Alicia
Martínez de la Casa, Santiago
González, Daniel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Monje Micharet, Concepción Alicia
dc.subject.none.fl_str_mv Computer and Information Science
Engineering
soft robotics
fractional order control
modeling of soft robots
control of soft robots
topic Computer and Information Science
Engineering
soft robotics
fractional order control
modeling of soft robots
control of soft robots
description Different csv files are available that include information about the pose (yaw and pitch angles) of the soft arm while varying the position of its motors. Three datasets are specifically available: experimental data used for the identification of the soft arm model; experimental data from the use of different controllers for the soft arm to reach a pose; and experimental data from the use of different controllers for the soft arm to follow a trajectory.</br> Apart from the datasets, different codes have been also generated in Matlab and C++ to manage the datasets and obtain the results shown in the associated paper, mainly the following results: soft arm model identification results; control results when using a PI controller for the robot to reach a pose and follow a trajectory; control results when using a fractional-order controller for the robot to reach a pose and follow a trajectory.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
info:eu-repo/semantics/publishedVersion
format dataset
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.21950/J95IFS
url https://doi.org/10.21950/J95IFS
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/Ministerio de Economía, Industria y Competitividad (España)/PID2020-113194GB-I00/
info:eu-repo/grantAgreement/Comunidad de Madrid/IND2020%2FIND-1739/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
CC-BY-NC-ND-4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv CC-BY-NC-ND-4.0
dc.format.none.fl_str_mv application/zip
text/plain
dc.publisher.none.fl_str_mv e-cienciaDatos
publisher.none.fl_str_mv e-cienciaDatos
dc.source.none.fl_str_mv reponame:e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
instname:Consorcio Madroño
instname_str Consorcio Madroño
reponame_str e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
collection e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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