Ponencia
Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion
Autor/es | Riquelme Santos, José Cristóbal
Ridao Carlini, Miguel Ángel Camacho, Eduardo F. Toro Bonilla, Miguel |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 1998 |
Fecha de depósito | 2020-04-22 |
Publicado en |
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ISBN/ISSN | 9783709164921 |
Resumen | A method based on genetic algorithms for obtaining coordinated motion plans of manipulator robots is presented. A decoupled planning approach has been used; that is, the problem has been decomposed into two subproblems: ... A method based on genetic algorithms for obtaining coordinated motion plans of manipulator robots is presented. A decoupled planning approach has been used; that is, the problem has been decomposed into two subproblems: path planning and trajectory planning. This paper focuses on the second problem. The generated plans minimize the total motion time of the robots along their paths. The optimization problem is solved by evolutionary algorithms using a variable-length individuals codification and specific genetic operators. |
Cita | Riquelme Santos, J.C., Ridao Carlini, M.Á., Camacho, E.F. y Toro Bonilla, M. (1998). Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion. En International Conference on Artificial Neural Networks and Genetic Algorithms (26-30), Norwich, UK: Springer Nature. |
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