Neural networks for robotics: an engineering perspective
General Material Designation
[electronic resources]
First Statement of Responsibility
/ Nancy Arana-Daniel, Carlos Lopez-Franco, Alma Y. Alanis.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boca Raton, FL
Name of Publisher, Distributor, etc.
: CRC Press/Taylor & Francis Group
Date of Publication, Distribution, etc.
, 2019.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xvii, 209 pages.
Other Physical Details
: illustrations (chiefly color), tables.
GENERAL NOTES
Text of 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."
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 195-207) and index.
SUMMARY OR ABSTRACT
Text of Note
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--