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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 Sagüés, Youcef Mezouar.
Reminder of title:
Algorithms, Tools and Strategies for Robotic Networks /
Author:
Aragues, Rosario.
other author:
Sagüés, Carlos.
Description:
VIII, 116 p. 34 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence. -
Online resource:
https://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 Sagüés, Youcef Mezouar. - 1st ed. 2015. - VIII, 116 p. 34 illus.online resource. - 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:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
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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