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Parallel and distributed map merging...
~
Aragues, Rosario.
Parallel and distributed map merging and localization = algorithms, tools and strategies for robotic networks /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Parallel and distributed map merging and localization/ by Rosario Aragues, Carlos Sagues, Youcef Mezouar.
Reminder of title:
algorithms, tools and strategies for robotic networks /
Author:
Aragues, Rosario.
other author:
Mezouar, Youcef.
Published:
Cham :Imprint: Springer, : 2015.,
Description:
viii, 116 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Image Processing and Computer Vision. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-25886-7
ISBN:
9783319258867
Parallel and distributed map merging and localization = algorithms, tools and strategies for robotic networks /
Aragues, Rosario.
Parallel and distributed map merging and localization
algorithms, tools and strategies for robotic networks /[electronic resource] :by Rosario Aragues, Carlos Sagues, Youcef Mezouar. - Cham :Imprint: Springer,2015. - viii, 116 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..
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. This work will be of interest to postgraduate students and researchers in the robotics and control communities, and will appeal to anyone with a general interest in multi-robot systems. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level. The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied.
ISBN: 9783319258867
Standard No.: 10.1007/978-3-319-25886-7doiSubjects--Topical Terms:
670819
Image Processing and Computer Vision.
LC Class. No.: TJ211
Dewey Class. No.: 629.892
Parallel and distributed map merging and localization = algorithms, tools and strategies for robotic networks /
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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. This work will be of interest to postgraduate students and researchers in the robotics and control communities, and will appeal to anyone with a general interest in multi-robot systems. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level. The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied.
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Computer Science (Springer-11645)
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