Home /Research /Optimization of the hexapod robot walking by genetic algorithm
LOCOMOTION

Optimization of the hexapod robot walking by genetic algorithm

Zoltán Pap, István Kecskés, Ervin Burkus, Fülöp Bazsó, Péter Odry

Year
2010
Citations
9

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

HexapodGenetic algorithmRobotComputer scienceSimulationRobot kinematicsMobile robotArtificial intelligenceMachine learning

Related papers

Browse all LOCOMOTION papers