Parallel and Distributed Map Merging and Localization

Algorithms, Tools and Strategies for Robotic Networks

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2015-10-31



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Description

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.
Pages
116 pages
Collection
SpringerBriefs in Computer Science
Parution
2015-10-31
Marque
Springer
EAN papier
9783319258843
EAN PDF
9783319258867

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
4721 Ko
Prix
52,74 €
EAN EPUB
9783319258867

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
2918 Ko
Prix
52,74 €