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ORCID: https://orcid.org/0000-0002-3290-2039, García Cena, Cecilia Elisabet
ORCID: https://orcid.org/0000-0002-1067-0564, Bedolla Martínez, David
ORCID: https://orcid.org/0000-0001-8552-6842 and Martín González, Antonio
(2024).
Innovative Metaheuristic Optimization Approach with a Bi-Triad for Rehabilitation Exoskeletons.
"Sensors", v. 24
(n. 7);
p. 2231.
ISSN 14248220.
https://doi.org/https://doi.org/10.3390/s24072231.
| Título: | Innovative Metaheuristic Optimization Approach with a Bi-Triad for Rehabilitation Exoskeletons |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Sensors |
| Fecha: | 30 Marzo 2024 |
| ISSN: | 14248220 |
| Volumen: | 24 |
| Número: | 7 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Commerce; Computer Simulation; Design Optimization; Engineering; Exoskeleton device; Humans; Industry 4.0; Rehabilitation Robotics; Robotics; topological optimization; upper limb exoskeleton |
| Escuela: | E.T.S.I. Industriales (UPM) |
| Departamento: | Ingeniería Eléctrica, Electrónica Automática y Física Aplicada |
| Licencias Creative Commons: | Reconocimiento |
|
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The present work proposes a comprehensive metaheuristic methodology for the development of a medical robot for the upper limb rehabilitation, which includes the topological optimization of the device, kinematic models (5 DOF), human-robot interface, control and experimental tests. This methodology applies two cutting-edge triads: (1) the three points of view in engineering design (client, designer and community) and (2) the triad formed by three pillars of Industry 4.0 (autonomous machines and systems, additive manufacturing and simulation of virtual environments). By applying the proposed procedure, a robotic mechanism was obtained with a reduction of more than 40% of its initial weight and a human-robot interface with three modes of operation and a biomechanically viable kinematic model for humans. The digital twin instance and its evaluation through therapeutic routines with and without disturbances was assessed; the average RMSEs obtained were 0.08 rad and 0.11 rad, respectively. The proposed methodology is applicable to any medical robot, providing a versatile and effective solution for optimizing the design and development of healthcare devices. It adopts an innovative and scalable approach to enhance their processes.
| ID de Registro: | 90188 |
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| Identificador DC: | https://oa.upm.es/90188/ |
| Identificador OAI: | oai:oa.upm.es:90188 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/10210801 |
| Identificador DOI: | https://doi.org/10.3390/s24072231 |
| URL Oficial: | https://www.mdpi.com/1424-8220/24/7/2231 |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 24 Jul 2025 08:36 |
| Ultima Modificación: | 24 Jul 2025 08:42 |
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