This article presents a method for decomposition and distribution of tasks in a multi-robotic system (MRS). The proposed implementation of the method of elementary operations distribution is based on maximizing the expected efficiency of each agent and collective decision making (CDM). To compare the effectiveness of various methods, computational experiments were carried out. According to the results, the implementation of the CDM mechanisms allows reducing the time for performing a global task by MRS agents by more than 10%. For the initial conditions described in the work, the use of the proposed method for maximizing the individual efficiency of an agent in combination with the CDM algorithm allows reducing the average execution time of a global operation by 21% in comparison with the method of minimizing the individual execution time without CDM.

The article deals with the task of identifying wanted people using two-dimensional face recognition. A potential method for circumventing the recognition system is described. “Potential” in this case means the absence of precedents for the use of the described method in governmental systems. An illustration of the algorithm for implementing a potential method for disrupting the functioning of the reference samples database of the facial recognition system is given. The results of testing the effectiveness of the presented method on the Microsoft Azure platform are presented. The results of the analysis of the modified image for obvious signs of montage are presented. As a result, the conclusion is presented that it is impossible to implement effective and operational protection of the reference samples database from the presented potential method of circumventing the facial recognition system.

This article describes the problems of anthropomorphic manipulators (AM) master-slave teleoperation control. The aim of the work is to study the problems of the teleoperation control accuracy. The scheme of copying control system is considered in the article. The most characteristic problems for this control method are allocated. The discretization and restoring of the signal examples describing the rotation angle dependence of the manipulator joint on time are made. Real-time smoothing methods based on the calculation of the speed and acceleration of the signal change, as well as smoothing by piecewise linear interpolation with a delay of one discrete time tick are applied to the restored signal. For the restored signals with smoothing and without smoothing, the root mean square of deviation from the initial signal is estimated.

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In this paper we propose an algorithm for tasks distribution (division of labour) for a group of unmanned aerial vehicles (UAVs) when monitoring an emergency zone. The input data of the algorithm are information on the homogeneous group of UAVs, the coordinates of the home point, and a set of elementary subtasks coming from the command center. The presented algorithm is analytical and allows obtaining the correct distribution result for any consistent input data. The algorithm is based on the principle of preliminary combining elementary tasks into clusters on a territorial basis. The results of simulation showed that the proposed labour distribution algorithm allows to achieve an average of 4.7% – 12.8% less time to complete a global task in comparison with the greedy algorithm. We experimentally established that the best result is achieved when choosing a cluster size so that about 75% of tasks are included in clusters, and 25% of tasks remain free.