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Control of vehicles and robots: creating of knowledge bases for mivar decision making systems robots and vehicles
Author(s) -
D. V. Aladin,
О. О. Варламов,
Л. Е. Адамова,
Д. А. Чувиков,
Д. В. Сараев
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/747/1/012099
Subject(s) - robot , control (management) , state (computer science) , computer science , production (economics) , element (criminal law) , human–computer interaction , artificial intelligence , engineering management , engineering , political science , algorithm , economics , law , macroeconomics
An important element in the control of machines and robots is the Mivar decision-making system based on production rules and cause-effect relationships. For example, unmanned vehicles must know the traffic laws rules in a real environment. It is shown how young scientists and students of the department “Information Processing and Control Systems” of the Bauman Moscow State Technical University successfully create production knowledge bases for mivar decision-making systems for unmanned vehicles and robotic systems. It is proposed to use actively our experience in all educational and scientific institutions where they solve the problems of controlling machines and robots.

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