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Evolutionary Path Planning Algorithm for Industrial Robots

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Evolutionary Path Planning Algorithm for Industrial Robots

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Nombre: ABU-DAKKA;Valero;Mata ...
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dc.contributor.author ABU-DAKKA, FARES JAWAD MOHD es_ES
dc.contributor.author Valero Chuliá, Francisco José es_ES
dc.contributor.author Mata Amela, Vicente es_ES
dc.date.accessioned 2013-11-18T08:28:18Z
dc.date.issued 2012
dc.identifier.issn 0169-1864
dc.identifier.uri http://hdl.handle.net/10251/33662
dc.description.abstract This paper proposed a new methodology to solve collision free path planning problem for industrial robot using genetic algorithms. The method poses an optimization problem that aims to minimize the significant points traveling distance of the robot. The behavior of more two operational parameters - the end effector traveling distance and computational time - are analyzed. This algorithm is able to obtain the solution for any industrial robot working in the complex environments, just it needs to choose a suitable significant points for that robot. An application example has been illustrated using robot Puma 560. © 2012 Copyright Taylor & Francis and The Robotics Society of Japan. es_ES
dc.description.sponsorship This paper has been made possible by the funding from the Spanish Ministry of MINISTERIO DE CIENCIA E INNOVACION through the Project Research and Technological Development DPI2010-20814-C02-01. en_EN
dc.language Inglés es_ES
dc.publisher Taylor & Francis and The Robotics Society of Japan es_ES
dc.relation.ispartof Advanced Robotics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Adjacent configurations es_ES
dc.subject Collision avoidance es_ES
dc.subject Industrial robots es_ES
dc.subject Kinematics es_ES
dc.subject Path planning es_ES
dc.subject Application examples es_ES
dc.subject Collision-free path-planning es_ES
dc.subject Complex environments es_ES
dc.subject Computational time es_ES
dc.subject Evolutionary path es_ES
dc.subject Operational parameters es_ES
dc.subject Optimization problems es_ES
dc.subject Significant points es_ES
dc.subject Algorithms es_ES
dc.subject Motion planning es_ES
dc.subject.classification INGENIERIA MECANICA es_ES
dc.title Evolutionary Path Planning Algorithm for Industrial Robots es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1080/01691864.2012.689743
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2010-20814-C02-01/ES/IDENTIFICACION DE PARAMETROS DINAMICOS EN VEHICULOS LIGEROS Y ROBOTS MOVILES. APLICACION A LA IDENTIFICACION EN TIEMPO REAL./ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Investigación en Tecnología de Vehículos - Centre d'Investigació en Tecnologia de Vehicles es_ES
dc.description.bibliographicCitation Abu-Dakka, FJM.; Valero Chuliá, FJ.; Mata Amela, V. (2012). Evolutionary Path Planning Algorithm for Industrial Robots. Advanced Robotics. 26(1):1369-1392. https://doi.org/10.1080/01691864.2012.689743 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://www.tandfonline.com/doi/pdf/10.1080/01691864.2012.689743 es_ES
dc.description.upvformatpinicio 1369 es_ES
dc.description.upvformatpfin 1392 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 26 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 231420
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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