Multiple Abstraction Hierarchies for Mobile Robot Operation in Large Environments - Cipriano Galindo, Juan-Antonio Fernández-Madrigal, Javier Gonzalez

Multiple Abstraction Hierarchies for Mobile Robot Operation in Large Environments

Buch | Softcover
XV, 178 Seiten
2010 | 1. Softcover reprint of hardcover 1st ed. 2007
Springer Berlin (Verlag)
978-3-642-09175-9 (ISBN)
139,09 inkl. MwSt

This book focuses on the efficient performance of mobile robots through the use of multi-hierarchical symbolic representations of the environment.

A mobile robot intended to perform deliberative actions must possess some symbolic representation of its workspace, but such representations of real environments usually become so large that should be conveniently arranged in order to facilitate and, in some cases, make possible their use.

Apart from the drawback of dealing with large amounts of information, other problems stand out when using symbolic representations. One is keeping the model properly optimized with respect to the robot tasks while maintaining it coherent with reality. Another one is the creation (or modification) of symbols from sensorial data.

This book addresses all these issues considering symbolic multi-hierarchical structures. Such structures, based on the concept of abstraction, allow a robot to speed up its operation in large environments. Practical solutions tested on real robots (for instance, a robotic wheelchair for elder people) are provided.

The book is intended for PhD students and in general for robotics, computer science, and artificial intelligence researchers.

A Robotic Future.- Multi-Hierarchical, Symbolic Representation of the Environment.- Application of Hierarchical Models to Mobile Robot Task Planning.- Mobile Robot Operation with Multi-Hierarchies.- Automatic Learning of Hierarchical Models.- Implementation and Experiences on a Real Robot.

Erscheint lt. Verlag 30.11.2010
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XV, 178 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 304 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik Elektrotechnik / Energietechnik
Schlagworte Abstraction • Artificial Intelligence • Assistant Robotics • Computer Science • Environment • Intelligence • mobile robotics • Model • Multiple Abstraction • Planning • robot • Robotics • Science • Sensor • Symbolic Knowledge Representation
ISBN-10 3-642-09175-X / 364209175X
ISBN-13 978-3-642-09175-9 / 9783642091759
Zustand Neuware
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