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Hexapod walking robot gait generation using genetic-gravitational hybrid algorithm

Filipp Seljanko

发表年份
2011
引用次数
23

摘要

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.

关键词

HexapodGaitGenetic algorithmRobotComputer scienceAlgorithmComputer visionSimulationArtificial intelligenceMachine learning

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