Generation of an optimal architecture of neuro force controllers for robot manipulators in unknown environments using genetic programming with fuzzy fitness evaluation

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{kiguchi:2001:SC,
  author =       "K. Kiguchi and H. Miyaji and K. Watanabe and 
                 K. Izumi and T. Fukuda",
  title =        "Generation of an optimal architecture of neuro force
                 controllers for robot manipulators in unknown
                 environments using genetic programming with fuzzy
                 fitness evaluation",
  journal =      "Soft Computing - A Fusion of Foundations,
                 Methodologies and Applications",
  year =         "2001",
  volume =       "5",
  number =       "3",
  pages =        "237--242",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, Robot
                 manipulator, Force control, Neuro controller, Fuzzy
                 evaluation",
  publisher =    "Springer-Verlag",
  ISSN =         "1432-7643",
  DOI =          "doi:10.1007/s005000100087",
  size =         "6 pages",
  abstract =     "we have applied genetic programming to generate an
                 optimal architecture of neuro force controllers for
                 robot manipulators in any environment. In order to
                 perform precise force control in unknown environments,
                 the optimal structured neuro force controller is
                 generated using genetic programming with fuzzy fitness
                 evaluation. After the architecture of the neuro
                 controller has been optimised for any kinds of
                 environments, it can be applied for a robot contact
                 task with an unknown environment in on-line manner
                 using its own adaptation ability. An effective
                 crossover operation is proposed for the efficient
                 evolution of the controllers. The simulation has been
                 carried out to evaluate the effectiveness of the
                 proposed robot force controller.",
}

Genetic Programming entries for Kazuo Kiguchi H Miyaji K Watanabe Kiyotaka Izumi Toshio Fukuda

Citations