Neural networks for robotics an engineering perspective / Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco.
| Author/creator | Arana-Daniel, Nancy |
| Other author | Lopez-Franco, Carlos. |
| Other author | Alanis, Alma Y. |
| Format | Electronic |
| Publication Info | Boca Raton : CRC Press, Taylor & Francis Group, [2019] |
| Description | xvii, 209 pages : illustrations ; 25 cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Abstract | 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. |
| General note | "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2018017262 |
| ISBN | 9780815378686 (hardback : acid-free paper) |
| ISBN | (ebook) |