an engineering perspective Arana-Daniel, Nancy creator author. Lopez-Franco, Carlos author. Alanis, Alma Y. author. text bibliography flu 2019 monographic eng

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xvii, 209 pages : illustrations ; 25 cm 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. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures to solve different kinds of problems encountered in autonomous navigation and object recognition problems. 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-- Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco. "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." Includes bibliographical references and index. Robots Control systems Neural networks (Computer science) TJ211.35 .A73 2019 629.8/92632 ARA 9780815378686 2018017262 DLC 180416 20231204082201.0 20453542 eng