Neural networks for robotics : an engineering perspective / Nancy Arana-Daniel, Carlos Lopez-Franco, Alma Y. Alanis.
Tipo de material:
TextoDetalles de publicación: Florida : CRC press, 2019Descripción: xvii, 207 p. : il. ; 25 cmISBN: 9780815378686 Tema(s): Robots -- sistemas de controlClasificación LoC:TJ211.35 | A73 2018Resumen: 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.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
Libro
|
Biblioteca Central Mexicali | Acervo General | TJ211.35 .A73 2019 (Browse shelf(Abre debajo)) | 1 | Disponible | MXL122113 |
Navegando Biblioteca Central Mexicali Estantes, Código de colección: Acervo General Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
| No hay imagen de cubierta disponible | No hay imagen de cubierta disponible | |||||||
| TJ211.2 O55 2018 V.6 Robótica / | TJ211.2 O55 2018 V.6 Robótica / | TJ211.26 O23 2015 Robótica educativa : | TJ211.35 .A73 2019 Neural networks for robotics : | TJ211.4 M57 2016 Cinemática y dinámica de robots manipuladores / | TJ211.4 M57 2016 Cinemática y dinámica de robots manipuladores / | TJ211.45 R49 2012 MATLAB aplicado a robótica y mecatrónica / |
"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
incluye referencias bibliográficas e indice
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.
