Innovative Metaheuristic Optimization Approach with a Bi-Triad for Rehabilitation Exoskeletons

Sosa Méndez, Deira 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.

Descripción

Título: Innovative Metaheuristic Optimization Approach with a Bi-Triad for Rehabilitation Exoskeletons
Autor/es:
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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Resumen

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.

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CAT2356180007
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Navantia University-Enterprise Chair on Underwater Robotics and Deeptech Technologies

Más información

ID de Registro: 90188
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