Home /Research /Hexapod walking robot gait generation using genetic-gravitational hybrid algorithm
LOCOMOTION

Hexapod walking robot gait generation using genetic-gravitational hybrid algorithm

Filipp Seljanko

Year
2011
Citations
23

Abstract

In this paper the use of hybrid genetic-gravitational algorithm for generation of the gait for the hexapod robot is described. Algorithm utilizes the features of Gravitational Search Algorithm (GSA) with operators from the Genetic Algorithm (GA). Description of initial gait generation procedure, gait transformation algorithm and experimental results are given.

Keywords

HexapodGaitGenetic algorithmRobotComputer scienceAlgorithmComputer visionSimulationArtificial intelligenceMachine learning

Related papers

Browse all LOCOMOTION papers