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Title: Artificial intelligence in robot control systems
Authors: Korikov, Anatoly Mikhailovich
Keywords: искусственный интеллект; система управления; роботы; робототехника; вычислительные технологии
Issue Date: 2018
Publisher: IOP Publishing
Citation: Korikov A. M. Artificial intelligence in robot control systems / A. M. Korikov // IOP Conference Series: Materials Science and Engineering. — Bristol : IOP Publishing, 2018. — Vol. 363 : Cognitive Robotics : II International Conference, 22–25 November 2017, Tomsk, Russian Federation : [proceedings]. — [012013, 6 p.].
Abstract: This paper analyzes modern concepts of artificial intelligence and known definitions of the term "level of intelligence". In robotics artificial intelligence system is defined as a system that works intelligently and optimally. The author proposes to use optimization methods for the design of intelligent robot control systems. The article provides the formalization of problems of robotic control system design, as a class of extremum problems with constraints. Solving these problems is rather complicated due to the high dimensionality, polymodality and a priori uncertainty. Decomposition of the extremum problems according to the method, suggested by the author, allows reducing them into a sequence of simpler problems, that can be successfully solved by modern computing technology. Several possible approaches to solving such problems are considered in the article.
Appears in Collections:Материалы конференций

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