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Finding Proper Configurations for Modular Robots by Using Genetic Algorithm on Different Terrains

Sajad Haghzad Klidbary, Saeed Bagheri Shouraki, Salman Faraji

发表年份
2013
引用次数
4
访问权限
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摘要

algorithm to find optimal or near optimal path. In most of path planning methods, the environment is limited to two dimensions and obstacles are presented by polygon shapes [4]- So far, many methods have been introduced to describe the environment such as visibility graph [9], Voronoi diagram [10], MAKLINK graph Various search algorithms have been used such as artificial potential field method [13], neural networks [14], ant colony algorithm [15], particle swarm optimization Each method has its own advantages over others in certain aspects.

关键词

Modular designTerrainGenetic algorithmRobotComputer scienceSelf-reconfiguring modular robotAlgorithmArtificial intelligenceMobile robotBiology

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