Abstract
Purpose when modern problems of robotics are being settled, the bionic approach, when robots imitate complexity and adaptability of biological systems, is becoming more and more widespread. Smart Electromechanical Systems (SEMS) are used in cyberphysical systems. These systems integrate many functions, namely computing, control, communication and storage of information, monitoring and control over both their parameters and ones of the environment. It is important to bear in mind that the behavior of the system is based on information obtained from the Central Nervous System of a Robot (CNSR) about the state of environment and conditions of system. The purpose of the publication is to describe approaches to the solution of the problem of development of the central nervous system of robots constructed on the basis of SEMS modules. Results the concept of development of the central nervous system of a robot on the basis of SEMS modules is suggested. Practical importance the principles of development of the central nervous system suggested in the article can be used for modeling and decision-making in control systems of smart robots.
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This work was financially supported by Russian Foundation for Basic Research, Grant 16-29-04424
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Gorodetskiy, A.E., Tarasova, I.L., Kurbanov, V.G. (2017). Challenges Related to Development of Central Nervous System of a Robot on the Bases of SEMS Modules. In: Gorodetskiy, A., Kurbanov, V. (eds) Smart Electromechanical Systems: The Central Nervous System. Studies in Systems, Decision and Control, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-319-53327-8_1
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