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
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;
Conference_Titel :
Intelligent Systems and Informatics (SISY), 2010 8th International Symposium on
Conference_Location :
Subotica
Print_ISBN :
978-1-4244-7394-6
DOI :
10.1109/SISY.2010.5647242
