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Inverse Kinematic Multiobjective Optimization For A Vehicle-Arm Robot System Using Evolutionary Algorithms

dc.contributores-ES
dc.creatorRodríguez, Humberto
dc.creatorBanfield, Ilka
dc.date2018-11-26
dc.date.accessioned2018-12-04T14:32:05Z
dc.date.available2018-12-04T14:32:05Z
dc.identifierhttp://revistas.utp.ac.pa/index.php/memoutp/article/view/1913
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/5667
dc.descriptionThis work is aimed at discussing the solution of the inverse kinematic problem using Multi- Objective Evolutionary Algorithms (MOEA) for a vehicle-arm redundant robot. A simplified 5 DoF model was used to simulate the problem and the objective functions were properly selected assuming underwater operation. In addition, we present a review of the most important techniques used for solving the inverse kinematic problem, focusing at the end on the application of a Non-Dominated, Sorting, Elitist MOEA with nonlinear constraints.es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherUniversidad Tecnológica de Panamáes-ES
dc.relationhttp://revistas.utp.ac.pa/index.php/memoutp/article/view/1913/2856
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceMemorias de Congresos UTP; 2018: The 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines - CLAWAR 2018; 193-200es-ES
dc.titleInverse Kinematic Multiobjective Optimization For A Vehicle-Arm Robot System Using Evolutionary Algorithmses-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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