Parallel and Distributed Map Merging An (Springerbriefs in Computer Science)
Language: English
Published by Springer, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
- Softcover
- New

Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
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- Title
- Parallel and Distributed Map Merging An (Springerbriefs in Computer Science)
- Author
- Aragues, Rosario; Sagüés, Carlos; Mezouar, Youcef
- Publisher
- Springer
- Publication year
- 2015
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319258842
- ISBN 13
- 9783319258843
- Series
- Book 190 of 322: 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.
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."Synopsis" may belong to another edition of this title.
From the Back Cover
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."About the title" may belong to another edition of this title.
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