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:1.8178

@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