Parallel and Distributed Map Merging and Localization

Algorithms, Tools and Strategies for Robotic Networks de

, ,

Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2015-10-31

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
52,74

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

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 €