02163cam a2200373 i 4500 4825 4825 20453542 OSt 20231204082201.0 180416s2019 flua b 001 0 eng 2018017262 9780815378686 (hardback : acid-free paper) 9781351231794 (ebook) DLC eng rda DLC DLC pcc TJ211.35 .A73 2019 629.8/92632 ARA Arana-Daniel, Nancy, author. Neural networks for robotics : an engineering perspective / Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco. Boca Raton : CRC Press, Taylor & Francis Group, 2019. xvii, 209 pages : illustrations ; 25 cm text txt rdacontent unmediated n rdamedia volume nc rdacarrier "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. 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-- Provided by publisher. Robots Control systems. Neural networks (Computer science) Lopez-Franco, Carlos, author. Alanis, Alma Y., author. 7 cbc orignew 1 ecip 20 y-gencatlg ddc PR 0 0 ddc 0 0 001 001 2023-12-04 0.00 08313 0 629.892632 ARA 08313 2024-10-27 00:00:00 08313 2023-12-04 PR