Model of Collective Object Recognition at the Control Unit of a Robot Systems Group

Nowadays an actual task is large territories monitoring in areas of natural and anthropogenic disasters. Group use of robots makes it possible to enlarge the size of the controlled zone, increase the probability of detecting objects of various purposes. At the same time, there appear new problems related to the task of objects recognition in conditions of a priori uncertainty regarding their observation conditions.The article offers a new approach to solving the problem of collective object recognition of a group robotic complexes, when the primary object recognition by autonomous robots, and the final solution is developed at the control point, taking into account the specific conditions under which decisions on primary recognition were developed.A general model of collective object recognition is presented, certain stages of information processing are considered, and the necessary formula dependencies are given. The features of the proposed approach are explained by examples.