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Neural Networks Robotics Engineering by Arana Daniel Nancy (18 results)
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Neural Networks for Robotics: An Engineering Perspective
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367733390 ISBN 13: 9780367733391
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback. Condition: Brand New. 246 pages. 9.21x6.14x0.47 inches. In Stock.
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Neural Networks for Robotics: An Engineering Perspective
Published by CRC Press 2018-09-13, 2018
ISBN 10: 0815378688 ISBN 13: 9780815378686
Language: English
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Neural Networks for Robotics: An Engineering Perspective
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Neural Networks for Robotics : An Engineering Perspective
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Neural Networks for Robotics : An Engineering Perspective
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Add to basketHardcover. Condition: Brand New. 209 pages. 9.50x6.25x0.75 inches. In Stock.
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Neural Networks for Robotics: An Engineering Perspective
Published by Taylor & Francis Inc, 2018
ISBN 10: 0815378688 ISBN 13: 9780815378686
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 199.12
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Add to basketHardcover. Condition: Brand New. 209 pages. 9.50x6.25x0.75 inches. In Stock. This item is printed on demand.
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.¿Includes real-time examples for various robotic platforms.Discusses real-time implementation for land and aerial robots.Presents solutions for problems encountered in autonomous navigation.Explores the mathematical preliminaries needed to understand the proposed methodologies.Integrates computing, communications, control, sensing, planning, and other techniques by means of artificial neural networks for robotics.
