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Erschienen in: Pattern Recognition and Image Analysis 4/2020

01.10.2020 | PATTERN RECOGNITION AND IMAGE ANALYSIS AUTOMATED SYSTEMS, HARDWARE AND SOFTWARE

Formation of Images Based on the Sensor Data of Robots

verfasst von: A. E. Gorodetskiy, V. G. Kurbanov, I. L. Tarasova

Erschienen in: Pattern Recognition and Image Analysis | Ausgabe 4/2020

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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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Metadaten
Titel
Formation of Images Based on the Sensor Data of Robots
verfasst von
A. E. Gorodetskiy
V. G. Kurbanov
I. L. Tarasova
Publikationsdatum
01.10.2020
Verlag
Pleiades Publishing
Erschienen in
Pattern Recognition and Image Analysis / Ausgabe 4/2020
Print ISSN: 1054-6618
Elektronische ISSN: 1555-6212
DOI
https://doi.org/10.1134/S1054661820040148

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