Tlie main goal of our work is to have a robot navigating in unknown and not specially striictiired environnients, and performing delivery like tasks. This robot has both unreliable sonar and infrared sensors. To cope with iinreliabilit?, a sensorjiision method is needed. Tlie main problem tolien app!ving classical fiision methods is that there is no a priori model of the environiiient, just because the robot first carries on a map bidding process. There exist some simple niethods for sensorjiision but, as we show, thqv do not address all the specific issues of o w desired robot task. This way, we use neiiral networks for SIICII fiision, andso we obtain more reliable data. We disciiss some important points related to the training procedure of neiiral nehvorks and the results we obtained.
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