| 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.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
