Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks - Couverture souple

Aragues, Rosario; Sagüés, Carlos; Mezouar, Youcef

Couverture souple

ISBN 10 : 3319258842 ISBN 13 : 9783319258843

Editeur : Springer, 2015

Synopsis

This work examines the challenges of distributed map merging and localization in multi-robot systems, which enables robots to acquire the knowledge of their surroundings needed to carry out coordinated tasks. After identifying the main issues associated with this problem, each chapter introduces a different distributed strategy for solving them.

In addition to presenting a review of distributed algorithms for perception in localization and map merging, the text also provides the reader with the necessary tools for proposing new solutions to problems of multi-robot perception, as well as other interesting topics related to multi-robot scenarios.

The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2015
• Langue: anglais
• ISBN 10: 3319258842
• ISBN 13: 9783319258843
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 124
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne