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Neural networks for roboticsan engin...

Alanis, Alma Y.

Neural networks for roboticsan engineering perspective /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neural networks for roboticsNancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco.
Reminder of title:	an engineering perspective /
Author:	Arana-Daniel, Nancy.
other author:	Alanis, Alma Y.
Published:	Boca Raton, FL :CRC Press,c2019.
Description:	1 online resource (227 p.) :ill., map.
Subject:	RobotsControl systems.
Online resource:	https://www.taylorfrancis.com/books/9781351231794
ISBN:	9781351231794$q(electronic bk. ;$qPDF)

Neural networks for roboticsan engineering perspective /
Arana-Daniel, Nancy.

Neural networks for roboticsan engineering perspective /[electronic resource] :Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco. - 1st ed. - Boca Raton, FL :CRC Press,c2019. - 1 online resource (227 p.) :ill., map.

Includes bibliographical references (p. 195-208) and index.

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures.

ISBN: 9781351231794$q(electronic bk. ;$qPDF)Subjects--Topical Terms:

182098
Robots
--Control systems.

LC Class. No.: TJ211.35 / .A73 2018

Dewey Class. No.: 629.8/92632

Neural networks for roboticsan engineering perspective /
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100 1 $a Arana-Daniel, Nancy. $3 873270
245 1 0 $a Neural networks for robotics $h [electronic resource] : $b an engineering perspective / $c Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c c2019.
300 $a 1 online resource (227 p.) : $b ill., map.
504 $a Includes bibliographical references (p. 195-208) and index.
520 3 $a The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures.
588 $a Description based on print version record.
650 0 $a Robots $x Control systems. $3 182098
650 0 $a Neural networks (Computer science) $3 181982
700 1 $a Alanis, Alma Y. $3 284075
700 1 $a Lopez-Franco, Carlos. $3 873271
856 4 0 $u https://www.taylorfrancis.com/books/9781351231794