Authors:
- Highlights the unique challenges and possibilities introduced by multi-robot systems and distributed strategies
- Provides tools for developing new approaches to multi-robot perception and other related challenges
- Presents strategies for distributed map merging and localization in multi-robot systems
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
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.Authors and Affiliations
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Instituto de Investigación en Ingeniería de Aragón,University of Zaragoza, Saragoza, Spain
Rosario Aragues
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Instituto de Investigación en Ingeniería de Aragón, University of Zaragoza, Saragoza, Spain
Carlos Sagüés
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Institut Pascal, CNRS, Clermont Université, IFMA, Clermont-Ferrand, France
Youcef Mezouar
Bibliographic Information
Book Title: Parallel and Distributed Map Merging and Localization
Book Subtitle: Algorithms, Tools and Strategies for Robotic Networks
Authors: Rosario Aragues, Carlos Sagüés, Youcef Mezouar
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-319-25886-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2015
Softcover ISBN: 978-3-319-25884-3Published: 10 November 2015
eBook ISBN: 978-3-319-25886-7Published: 31 October 2015
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: VIII, 116
Number of Illustrations: 34 b/w illustrations
Topics: Artificial Intelligence, Robotics and Automation, Computer Communication Networks, Image Processing and Computer Vision