Neural networks for robotics an engineering perspective

The book offers the reader the insight on artificial neural networks for giving a robot a high level of autonomy tasks such as navigation, object recognition, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomou...

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Bibliographic Details
Main Authors: Arana-Daniel, Nancy (Author), Lopez-Franco, Carlos (Author), Alanis, Alma Y. (Author)
Format: Book
Language:English
Published: Boca Raton, FL CRC Press, Taylor & Francis Group 2019
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MARC

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100 1 |a Arana-Daniel, Nancy,  |e author. 
245 1 0 |a Neural networks for robotics  |b an engineering perspective  |c Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco. 
264 1 |a Boca Raton, FL  |b CRC Press, Taylor & Francis Group  |c 2019 
300 |a xvii, 209 pages  |c 25 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a The book offers the reader the insight on artificial neural networks for giving a robot a high level of autonomy tasks such as navigation, object recognition, 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. 
592 |a 37584  |b 07/08/2019  |c RM 580.67  |h Bookline 
650 0 |a Robots  |x Control systems. 
650 0 |a Neural networks (Computer science) 
700 1 |a Lopez-Franco, Carlos,  |e author. 
700 1 |a Alanis, Alma Y.,  |e author. 
999 |a vtls000063666  |c 53458  |d 53458