The development of collaborative robotics as a research area is based on the study of safety and machine vision issues. The process of integrating artificial intelligence into robotic systems is gradually taking place. The process of intelligent robotic automation is based on a combination of machine learning of robots and high vision technologies on the way to interactive intelligent collaborative robotics. Given the lack of barriers for modern robots that work with humans, the issues of safety interaction remain the basic basis, which is considered an integral part of any implementation of new technological solutions. Such intelligent robotic solutions aimed to provide complementing and augmenting human capabilities, not replacing them. To take full advantage of this collaboration between robots and humans we must understand how humans can most effectively augment robots and how robots can enhance what humans do best.

The rapid development of unmanned aerial vehicles (UAVs) has contributed to a proliferation of multispectral aerial survey technologies and services. Aerial reconnaissance allows to obtain the detailed digital map of the area, including the geographical distribution of radiant temperatures. These temperature maps allow to find out the composition of the objects (figure out type of the material), their real dimensions and size. There are studies concerning processing of multispectral aerial survey images (both obtained in visible and infrared ranges) and selecting the UAV optimal flight altitude for detection, recognition, and identification of monitoring objects. However, the issue of developing an integrated algorithm of UAV multispectral aerial survey for classifying monitoring objects (taking into account the choice of optimal flight altitude and camera’s resolution parameters) still remains open. This article considers the choice of the flight altitude of the UAVs based on Johnson’s criteria for detection, recognition, and identification of monitoring objects. The integrated approach for conducting aerial survey based on mathematical relationship between optimal flight altitude of the UAVs and resolving power of its onboard camera is proposed.

One of the approaches to Constructing the functional voxel model (FV-Model) of the topography is considered. This approach allows to get the local functional dependence for each point of the complex shaped terrain on the extended land area. Bilinear interpolation of the values of components of the average normal in the triangulated topographical network vertices is the smoothing functional principle.

Design of object-oriented databases for automatic information control systems is studied. A formal method of analysis and design of optimal structures for object-oriented databases is developed on the basis of sequential interconnected formalizations of user problem domains, clustering of user information and functional requirements, design and analysis of object models for user requirements and object canonical structure of databases and design of optimal logical structures for object-oriented databases. Methods of analysis of problem domains of database users and construction of effective object canonical database structures in the form of classes, objects, and their relations and satisfying principles of abstraction, encapsulation, modularity, and hierarchy are described.

The paper describes a special case of a base station placement in wireless network with linear topology. Each station is equipped with access point (for example IEEE 802.11) that is used by the objects to send their data via the network, and with a relay equipment that allows the station to connect to the neighboring stations. Each station is described by the coverage radius and the communication radius to other stations. The goal is to determine such placement of the stations which will maximize the total coverage on the linear section by the given set of stations. Two formal problem statements are described and analyzed: the statement in the extremal combinatorial form and the formulation of the problem as a mixed-integer linear programming model. The main result is the development of a special branch and bound algorithm for solving the problem represented in the combinatorial form. The results of a comparative computational experiment by three approaches: by the brute force method, by the branch and bound algorithm and solving the problem in the form of the mixed-integer linear programming are given.