Artificial intelligence in robot control systems

Detalles Bibliográficos
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 363 : Cognitive Robotics.— 2018.— [012013, 6 p.]
Autor Principal: Korikov A. M. Anatoly Mikhailovich
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ)
Summary:Title screen
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.
Publicado: 2018
Subjects:
Acceso en liña:https://doi.org/10.1088/1757-899X/363/1/012013
http://earchive.tpu.ru/handle/11683/51794
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=658779
Descripción
Summary:Title screen
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.
DOI:10.1088/1757-899X/363/1/012013