Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks

Author:   Rosario Aragues ,  Carlos Sagüés ,  Youcef Mezouar
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2015
ISBN:  

9783319258843


Pages:   116
Publication Date:   10 November 2015
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks


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Overview

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.

Full Product Details

Author:   Rosario Aragues ,  Carlos Sagüés ,  Youcef Mezouar
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2015
Dimensions:   Width: 15.50cm , Height: 0.70cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783319258843


ISBN 10:   3319258842
Pages:   116
Publication Date:   10 November 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Distributed Data Association.- Distributed Localization.- Map Merging.- Real Experiments.- Conclusions.- Appendix A: Averaging Algorithms and Metropolis Weights.- Appendix B: Auxiliary Results for Distributed Localization.

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