Cooperative Autonomous Low-Cost Robots for exploring Unknown Environments

In this paper we present the first results of a kind of small autonomous vehicles dessigned to cooperatively explore unkown environments. In order to improve the covering of the explored zone the vehicles show different behaviours. The host that controls the troup of vehicles generates the most plausible map of the environment from the information obtained by the different components of the troup, which at the end of their mission return back. To perform the map generation a two-step algorithm, fusion and completion, based on fuzzy techniques is presented.