DocumentCode
3264979
Title
Optimization of the hexapod robot walking by genetic algorithm
Author
Pap, Zoltan ; Kecskés, István ; Burkus, Ervin ; Bazsó, Fülöp ; Odry, Péter
Author_Institution
Coll. of Appl. Sci., Subotica Tech, Subotica, Serbia
fYear
2010
fDate
10-11 Sept. 2010
Firstpage
121
Lastpage
126
Abstract
In building walking hexapod robot great time and effort is needed to optimize robot walking. When simulating robotic gaits, several parameters affect simulation output. These parameters need to be optimized in order to achieve optimal robot movement. Genetic algorithm is used to optimize parameters in the simulation.
Keywords
gait analysis; genetic algorithms; mobile robots; genetic algorithm; optimization; robotic gaits; walking hexapod robot; Biological cells; Gallium; Leg; Legged locomotion; Optimization; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Informatics (SISY), 2010 8th International Symposium on
Conference_Location
Subotica
Print_ISBN
978-1-4244-7394-6
Type
conf
DOI
10.1109/SISY.2010.5647242
Filename
5647242
Link To Document