Article

Article title STRUCTURE OPTIMIZATION OF THE AUTOMATED TRAINING SYSTEMS FOR ROBOTIC SYSTEMS CONTROL OPERATORS
Authors A.D. Krailuk, K.A. Zlotnikov, R.V. Kuklin, T.H. Aung
Section SECTION I. GROUND ROBOTICS
Month, Year 01-02, 2017 @en
Index UDC 002.2
DOI
Abstract We present the results of investigations, dealing with the creation of computerized training systems for robotic systems operators. As it is shown by the experience of design and practical application of such systems, nowadays they use the platform of multiuser computers. This platform is used to create the learning measurement systems, computer classes for theoretical studies, and special simulators for practical training. The essential part of this system is the virtual environment, which is built using the database of geospatial information and environment models. The main advantage of computerized training systems is the opportunity to train the personnel using no real robots, this way reducing training cost and training risk reduction. The complexity of the computerized training systems design problem leads to the need of using formal methods of rational choice of the system components. In this paper the optimal choice of computerized training systems components is made using the discrete programming. Morphological analysis is used to describe the main functionality of the system, as well as the discrete optimization methods – to choose the ways of its technical realization. The system cost of efficiency may be used as the criterion of system optimization, and the elements compatibility is considered as the restriction The additional restrictions may be used to achieve the necessary reliability, power consumption etc. The efficiency of the proposed method is illustrated with the example of its application to the task of cost-effective learning management system creation.

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Keywords Personnel training; computerized training systems; robotic systems control; system optimization; discrete optimization problems.
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