Artificial intelligence in robot control systems
Электронный архив ТПУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Artificial intelligence in robot control systems
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| Автор |
Korikov, Anatoly Mikhailovich
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| Тематика |
искусственный интеллект
система управления роботы робототехника вычислительные технологии |
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| Описание |
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.
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| Дата |
2018-11-29T03:16:04Z
2018-11-29T03:16:04Z 2018 |
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| Тип |
Conference Paper
Published version (info:eu-repo/semantics/publishedVersion) Conference paper (info:eu-repo/semantics/conferencePaper) |
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| Идентификатор |
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.].
http://earchive.tpu.ru/handle/11683/51794 10.1088/1757-899X/363/1/012013 |
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| Язык |
en
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| Связанные ресурсы |
IOP Conference Series: Materials Science and Engineering. Vol. 363 : Cognitive Robotics. — Bristol, 2018.
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| Права |
Open access (info:eu-repo/semantics/openAccess)
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| Издатель |
IOP Publishing
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