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Since many years insects have been considered as a source of inspiration for robotic architectures. From this point of view the fly Drosophila melanogaster is more than likely a protagonist , because of the genetic techniques that allow neurobiologists to make deep studies and hypotheses about the brain of this fly. In this work a computational model of the Drosophila has been tested and implemented on a robot simulator. Moreover, the normal capabilities of the fly have been extended in order to have an useful robot-oriented model. Results about a possible application in a real-life scenario of the whole model of the Drosophila brain are reported.

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