Abstract
Smart Electromechanical Systems (SEMS) are used in cyber-physical systems and, in particular, in intelligent robots. These systems have the ability to integrate the functions of computing, controlling, communicating, storing information, monitoring, measuring, and controlling their own parameters and the environmental parameters. It is important to keep in mind that the behavior of the system is based on information received from the sense sensors of the robot’s central nervous system (CNS) about the state of the environment and the state of the system. The aim of the paper is to describe an algebraic approach to form images based on the sensor data of robots built based on the SEMS modules. An algebraic approach for the formation of images based on the sensory data of robots built based on the SEMS modules is proposed. The algebraic approach to the formation of images based on the sensory data proposed in the article can be used to form the strategy and tactics for controlling intelligent robots.
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Funding
The present work was supported by the Ministry of Science and Higher Education within the framework of the Russian State Assignment under contract No. AAA-A19-119120290136-9 and is supported by Russian Foundation for Basic Research grants nos. 18-01-00076 and 19-08-00079.
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Andrey E. Gorodetskiy. Head of the laboratory of Smart Electromechanical Systems, Institute for Problems in Mechanical Engineering, of the Russian Academy of Sciences (IPME RAS), Dr. Sci. (Engineering Sciences), Professor, honored worker of science of the Russian Federation, Academician of the Russian Academy of Natural Sciences. Review Editor in the Section Biomedical Robotics of Frontiers in Robotics and AI (Switzerland). Scientific interests: computer sciences, SEMS, central nervous system of SEMS. Author of numerous papers.
Brief description of the list of publications: Smart Electromechanical Systems (SEMS) are used in Cyber Physical Systems (CPS). Lot of attention here is given to methods of designing and modeling of SEMS based on the principles of adaptability, intelligence, biomorphism of parallel kinematics and parallelism in information processing and control computation. Current research interests and activities: Computer sciences, SEMS, The Central Nervous System of SEMS
Vugar G. Kurbanov. Senior researcher at the laboratory of Smart Electromechanical Systems, IPME RAS, Dr. Sci. (Phys.–Math.), Associate Professor of St. Petersburg State University of Aerospace Instrumentation, actual member of the Metrological Academy of Sciences. Review Editor in the Section Biomedical Robotics of Frontiers in Robotics and AI (Switzerland). Scientific interests: theory of automatic control, computational methods of optimal control, mathematical methods of modeling and information processing, decision theory, optimal systems, and logical and probabilistic methods. Author of a number of papers.
Brief description of the list of publications: Smart Electromechanical Systems (SEMS) are used in Cyber Physical Systems (CPS). Lot of attention here is given to methods of designing and modeling of SEMS based on the principles of adaptability, intelligence, biomorphism of parallel kinematics and parallelism in information processing and control computation.
Research interests: theory of automatic control, computational methods of optimal control, mathematical methods of modeling and information processing, decision theory, optimal systems, logical and probabilistic methods.
Irina L. Tarasova. Senior Researcher of the laboratory of Smart Electromechanical Systems, IPME RAS. Dr. Sci., Associate Professor of the Higher school of Cyberphysical Systems and Control, Peter the Great St. Petersburg Polytechnic University, corresponding member of the Metrological Academy of Sciences. Review Editor in the Section Biomedical Robotics of Frontiers in Robotics and AI (Switzerland). Scientific interests: computational methods of optimal control, and mathematical methods of modeling and information processing, simulation and biomechanics. Author of a number of papers.
Brief description of the list of publications: Smart Electromechanical Systems (SEMS) are used in Cyber Physical Systems (CPS). Lot of attention here is given to methods of designing and modeling of SEMS based on the principles of adaptability, intelligence, biomorphism of parallel kinematics and parallelism in information processing and control computation.
Research interests: computational methods of optimal control, mathematical methods of modeling and information processing, simulation and biomechanics.
This paper was not included in special issue 3 (PRIA Journal Special Issue “Selected Papers of the 14th International Conference on Pattern Recognition and Information Processing,” 2020, volume 30, number 3), but was included in the number of articles published in the journal based on materials of the 14th International Conference on Pattern Recognition and Information Processing, Minsk, Republic of Belarus, May 2019.
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Gorodetskiy, A.E., Kurbanov, V.G. & Tarasova, I.L. Formation of Images Based on the Sensor Data of Robots. Pattern Recognit. Image Anal. 30, 711–715 (2020). https://doi.org/10.1134/S1054661820040148
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DOI: https://doi.org/10.1134/S1054661820040148