Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises
[EN] The development of robotic-assisted rehabilitation exercises involving physical human-robot interaction requires extreme care since an injured limb may be in physical contact with the robot, so compliant behavior is imperative for these tasks. Typical approaches involve force control schemes li...
| Authors: | , , , , , |
|---|---|
| Format: | article |
| Publication Date: | 2023 |
| Country: | España |
| Institution: | Universitat Politècnica de València (UPV) |
| Repository: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Language: | English |
| OAI Identifier: | oai:riunet.upv.es:10251/201738 |
| Online Access: | https://riunet.upv.es/handle/10251/201738 |
| Access Level: | Open access |
| Keyword: | Rehabilitation robotics Learning from demonstrations Reversible dynamic movement primitives Gaussian mixture regression Parallel robot INGENIERIA DE SISTEMAS Y AUTOMATICA INGENIERIA MECANICA |
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Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises |
| title |
Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises |
| spellingShingle |
Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises Escarabajal-Sánchez, Rafael José Rehabilitation robotics Learning from demonstrations Reversible dynamic movement primitives Gaussian mixture regression Parallel robot INGENIERIA DE SISTEMAS Y AUTOMATICA INGENIERIA MECANICA |
| title_short |
Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises |
| title_full |
Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises |
| title_fullStr |
Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises |
| title_full_unstemmed |
Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises |
| title_sort |
Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises |
| dc.creator.none.fl_str_mv |
Escarabajal-Sánchez, Rafael José Pulloquinga-Zapata, José Zamora-Ortiz, Pau Valera Fernández, Ángel|||0000-0001-6843-6394 Mata Amela, Vicente|||0000-0003-2255-0567 Vallés Miquel, Marina|||0000-0002-6396-0098 |
| author |
Escarabajal-Sánchez, Rafael José |
| author_facet |
Escarabajal-Sánchez, Rafael José Pulloquinga-Zapata, José Zamora-Ortiz, Pau Valera Fernández, Ángel|||0000-0001-6843-6394 Mata Amela, Vicente|||0000-0003-2255-0567 Vallés Miquel, Marina|||0000-0002-6396-0098 |
| author_role |
author |
| author2 |
Pulloquinga-Zapata, José Zamora-Ortiz, Pau Valera Fernández, Ángel|||0000-0001-6843-6394 Mata Amela, Vicente|||0000-0003-2255-0567 Vallés Miquel, Marina|||0000-0002-6396-0098 |
| author2_role |
author author author author author |
| dc.contributor.none.fl_str_mv |
Departamento de Ingeniería de Sistemas y Automática Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial Departamento de Ingeniería Mecánica y de Materiales Instituto Universitario de Automática e Informática Industrial Instituto Universitario de Investigación Concertado de Ingeniería Mecánica y Biomecánica Escuela Técnica Superior de Ingeniería Industrial Escuela Técnica Superior de Ingeniería Informática AGENCIA ESTATAL DE INVESTIGACION MINISTERIO DE CIENCIA E INNOVACION Universitat Politècnica de València Repositorio Institucional de la Universitat Politècnica de València Riunet |
| dc.subject.none.fl_str_mv |
Rehabilitation robotics Learning from demonstrations Reversible dynamic movement primitives Gaussian mixture regression Parallel robot INGENIERIA DE SISTEMAS Y AUTOMATICA INGENIERIA MECANICA |
| topic |
Rehabilitation robotics Learning from demonstrations Reversible dynamic movement primitives Gaussian mixture regression Parallel robot INGENIERIA DE SISTEMAS Y AUTOMATICA INGENIERIA MECANICA |
| description |
[EN] The development of robotic-assisted rehabilitation exercises involving physical human-robot interaction requires extreme care since an injured limb may be in physical contact with the robot, so compliant behavior is imperative for these tasks. Typical approaches involve force control schemes like admittance controllers that allow humans to adapt the motion. However, when the patient¿s limb has limited mobility or is potentially injured, unintentional forces may occur during the robot¿s trajectory that could be incompatible with these controllers. This letter addresses a new way of generating compliant trajectories for passive rehabilitation exercises, considering that previous positions of the trajectory are attainable for the patient, so reversing the trajectory is a safe op eration. Since there is no clear way to optimize such a goal due to the physiological variability among patients, the condition of reversal is based on imitation learning by taking the analogous healthy limb of the patient as a reference and encoding the forces using Gaussian Mixture Regression, and reversibility is accomplished by means of Reversible Dynamic Movement Primitives. The system allows for self-paced rehabilitation exercises by back-and-forth movements along the trajectory according to the patient¿s reaction, and it has been successfully applied to a 4-DOF parallel robot for lower-limb rehabilitation. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 2023-07-01 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://riunet.upv.es/handle/10251/201738 |
| url |
https://riunet.upv.es/handle/10251/201738 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2021-125694OB-I00 SISTEMA ROBOTICO PARALELO CON CONTROL BASADO EN MODELO MUSCULO-ESQUELETICO PARA LA MONITORIZACION Y ENTRENAMIENTO DEL SISTEMA PROPIOCEPTIVO Universitat Politècnica de València https://doi.org/10.13039/501100004233 Programa PAID de Apoyo a la I+D+i PAID-11-21 Parallel rehabilitation robots: detection and control of singularities in the presence of manufacturing errors Ministerio de Universidades MIU FPU18%2F05105 DESARROLLO Y CONTROL DE ROBOTS PARALELOS RECONFIGURABLES PARA LA REHABILITACIÓN DE MIEMBRO INFERIOR DE PERSONAS |
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open access http://purl.org/coar/access_right/c_abf2 Reserva de todos los derechos http://rightsstatements.org/vocab/InC/1.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Reserva de todos los derechos http://rightsstatements.org/vocab/InC/1.0/ |
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openAccess |
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application/pdf application/pdf |
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Institute of Electrical and Electronics Engineers |
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Institute of Electrical and Electronics Engineers |
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reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname:Universitat Politècnica de València (UPV) |
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Universitat Politècnica de València (UPV) |
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RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
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RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
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Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation ExercisesEscarabajal-Sánchez, Rafael JoséPulloquinga-Zapata, JoséZamora-Ortiz, PauValera Fernández, Ángel|||0000-0001-6843-6394Mata Amela, Vicente|||0000-0003-2255-0567Vallés Miquel, Marina|||0000-0002-6396-0098Rehabilitation roboticsLearning from demonstrationsReversible dynamic movement primitivesGaussian mixture regressionParallel robotINGENIERIA DE SISTEMAS Y AUTOMATICAINGENIERIA MECANICA[EN] The development of robotic-assisted rehabilitation exercises involving physical human-robot interaction requires extreme care since an injured limb may be in physical contact with the robot, so compliant behavior is imperative for these tasks. Typical approaches involve force control schemes like admittance controllers that allow humans to adapt the motion. However, when the patient¿s limb has limited mobility or is potentially injured, unintentional forces may occur during the robot¿s trajectory that could be incompatible with these controllers. This letter addresses a new way of generating compliant trajectories for passive rehabilitation exercises, considering that previous positions of the trajectory are attainable for the patient, so reversing the trajectory is a safe op eration. Since there is no clear way to optimize such a goal due to the physiological variability among patients, the condition of reversal is based on imitation learning by taking the analogous healthy limb of the patient as a reference and encoding the forces using Gaussian Mixture Regression, and reversibility is accomplished by means of Reversible Dynamic Movement Primitives. The system allows for self-paced rehabilitation exercises by back-and-forth movements along the trajectory according to the patient¿s reaction, and it has been successfully applied to a 4-DOF parallel robot for lower-limb rehabilitation.This work was supported in part by the Fondo Europeo de Desarrollo Regional under Grant PID2021-125694OB-I00, in part by the Vicerrectorado de Investigación de la Universitat Politècnica de València under Grant PAID-11-21, and in part by the Ministerio de Universidades, Gobierno de España under Grant FPU18/05105Institute of Electrical and Electronics EngineersDepartamento de Ingeniería de Sistemas y AutomáticaEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialDepartamento de Ingeniería Mecánica y de MaterialesInstituto Universitario de Automática e Informática IndustrialInstituto Universitario de Investigación Concertado de Ingeniería Mecánica y BiomecánicaEscuela Técnica Superior de Ingeniería IndustrialEscuela Técnica Superior de Ingeniería InformáticaAGENCIA ESTATAL DE INVESTIGACIONMINISTERIO DE CIENCIA E INNOVACIONUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20232023-07-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/201738reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2021-125694OB-I00 SISTEMA ROBOTICO PARALELO CON CONTROL BASADO EN MODELO MUSCULO-ESQUELETICO PARA LA MONITORIZACION Y ENTRENAMIENTO DEL SISTEMA PROPIOCEPTIVOUniversitat Politècnica de València https://doi.org/10.13039/501100004233 Programa PAID de Apoyo a la I+D+i PAID-11-21 Parallel rehabilitation robots: detection and control of singularities in the presence of manufacturing errorsMinisterio de Universidades MIU FPU18%2F05105 DESARROLLO Y CONTROL DE ROBOTS PARALELOS RECONFIGURABLES PARA LA REHABILITACIÓN DE MIEMBRO INFERIOR DE PERSONASopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2017382026-06-13T07:49:27Z |
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