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Study of the application of a collaborative robot for machining tasks

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Study of the application of a collaborative robot for machining tasks

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Pérez-Ubeda, R.; Gutiérrez, SC.; Zotovic Stanisic, R.; Lluch-Cerezo, J. (2019). Study of the application of a collaborative robot for machining tasks. Procedia Manufacturing. 41:867-874. https://doi.org/10.1016/j.promfg.2019.10.009

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/160414

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Título: Study of the application of a collaborative robot for machining tasks
Autor: Pérez-Ubeda, R. Gutiérrez, S. C. Zotovic Stanisic, Ranko Lluch-Cerezo, J.
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Fecha difusión:
Resumen:
[EN] The importance of collaborative robots is increasing very fast in the industry. They have several advantages over the 'classical' robot arms: they may work side-by-side with humans, their environment needs less ...[+]
Palabras clave: Robotic machining , Elastic robots , Co-bots , Force control
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Procedia Manufacturing. (eissn: 2351-9789 )
DOI: 10.1016/j.promfg.2019.10.009
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.promfg.2019.10.009
Código del Proyecto:
info:eu-repo/grantAgreement/CONICYT//2017-72180157/
info:eu-repo/grantAgreement/MINECO//DPI2016-81002-R/ES/CONTROL AVANZADO Y APRENDIZAJE DE ROBOTS EN OPERACIONES DE TRANSPORTE/
Agradecimientos:
The authors are grateful for the financial support of the Spanish Ministry of Economy and European Union, grant DPI2016-81002-R (AEI/FEDER, UE). This work was funded by the CONICYT PFCHA/DOCTORADO BECAS CHILE/2017 - 72180157[+]
Tipo: Artículo

References

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International Federation of Robotics, IFR forecast: 1.7 million new robots to transform the world´s factories by 2020, IFR. (2017). https://ifr.org/ifr-press-releases/news/ifr-forecast-1.7-million-new-robots-to-transform-the-worlds-factories-by-20 (accessed February 15, 2019).

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