GA based trajectory planner for robot manipulators sharing a common workspace with adaptive population size

E. A. Merchán-Cruz, G. Urriolagoitia-Sosa, J. Ramírez-Gordillo, R. Rodríguez-Cañizo, I. Y. Campos-Padilla, J. J. Muñoz-César, E. Lugo-González

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

This paper presents a strategy to modify, on "the fly", the initial population size of a Genetic Algorithm Based Trajectory Planner for robot manipulators sharing a common workspace. Firstly, some considerations on the effect of varying the population size of the initial population size of the GA over the performance of the obtained paths are investigated. Finally, a fuzzy unit is implemented to adaptively modify the population size accordingly to the navigation conditions of the manipulator system, such as the magnitude of the potential field (used to model the manipulators as moving obstacles), error to goal, and whether or not the manipulators are moving along a stable trajectory. The considered cases correspond to two redundant dual manipulator systems, consisting of two 3 degrees of freedom (dof) and two 7 dof planar manipulators.

Original languageEnglish
Pages520-525
Number of pages6
DOIs
StatePublished - 2008
EventProceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008 - Cuernavaca, Morelos, Mexico
Duration: 30 Sep 20083 Oct 2008

Conference

ConferenceProceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008
Country/TerritoryMexico
CityCuernavaca, Morelos
Period30/09/083/10/08

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