Optimal Trajectory and Solution of the Inverse Kinematics of a Robotic Manipulator by Genetic Algorithms

dc.contributorUNITAU Univ Taubate
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T19:30:24Z
dc.date.accessioned2022-12-19T20:11:39Z
dc.date.available2020-12-10T19:30:24Z
dc.date.available2022-12-19T20:11:39Z
dc.date.created2020-12-10T19:30:24Z
dc.date.issued2011-01-01
dc.identifierPractical Applications Of Intelligent Systems. Berlin: Springer-verlag Berlin, v. 124, p. 749-+, 2011.
dc.identifier1867-5662
dc.identifierhttp://hdl.handle.net/11449/196011
dc.identifierWOS:000307258900089
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5376648
dc.description.abstractThis paper presents the generation of optimal trajectories by genetic algorithms (GA) for a planar robotic manipulator. The implemented GA considers a multi-objective function that minimizes the end-effector positioning error together with the joints angular displacement and it solves the inverse kinematics problem for the trajectory. Computer simulations results are presented to illustrate this implementation and show the efficiency of the used methodology producing soft trajectories with low computing cost.
dc.languageeng
dc.publisherSpringer
dc.relationPractical Applications Of Intelligent Systems
dc.sourceWeb of Science
dc.subjectRobotic manipulator
dc.subjectOptimal trajectory
dc.subjectGenetic algorithms
dc.subjectInverse kinematics
dc.titleOptimal Trajectory and Solution of the Inverse Kinematics of a Robotic Manipulator by Genetic Algorithms
dc.typeActas de congresos


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