Main Strategies for Autonomous Robotic Controller Design

Публікація:
Main Strategies for Autonomous Robotic Controller Design

dc.contributor.author	Paterega, I.
dc.date.accessioned	2016-09-02T11:42:21Z
dc.date.available	2016-09-02T11:42:21Z
dc.date.issued	2011
dc.description.abstract	This review gives an overall introduction to the artificial evolution mechanism. It presents the main strategies for robotic controller design. It gives a review of the pertinent literature, focusing on approaches that use neural networks, evolutionary computing, and fuzzy logic. Various applications of artificial evolution in robotics are surveyed and classified.	uk_UA
dc.identifier.citation	Paterega, I. Main Strategies for Autonomous Robotic Controller Design / I. Paterega // Радиоэлектроника и информатика : науч.-техн. журн. – Х. : Изд-во ХНУРЭ, 2011. – Вып. 4. – С. 36-41.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/2016
dc.language.iso	en	uk_UA
dc.publisher	ХНУРЭ	uk_UA
dc.subject	robot navigation	uk_UA
dc.subject	neural networks	uk_UA
dc.subject	fuzzy logic	uk_UA
dc.subject	evolutionary algorithms	uk_UA
dc.title	Main Strategies for Autonomous Robotic Controller Design	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication