Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
554317 | IERI Procedia | 2014 | 7 Pages |
Abstract
Environment exploration of dynamic unknown environments is an attractive research issue. In this paper, we propose an evolutionary based method to deal with this issue. We evolved a neural controller that uses the laser data and information of unexplored environment to generate the robot best action. The map of the environment is generated by the robot in a form of a binary matrix. The explored are is used as fitness function of the genetic algorithm. The experimental results show a good performance of the proposed method for exploration of unknown dynamic environments.
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