Parallel And Distributed Map Merging And Localization: Algorithms, Tools And Strategies For Robotic Networks by Rosario AraguesParallel And Distributed Map Merging And Localization: Algorithms, Tools And Strategies For Robotic Networks by Rosario Aragues

Parallel And Distributed Map Merging And Localization: Algorithms, Tools And Strategies For Robotic…

byRosario Aragues, Carlos Sag, Youcef Mezouar

Paperback | November 10, 2015

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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.

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.
Title:Parallel And Distributed Map Merging And Localization: Algorithms, Tools And Strategies For Robotic…Format:PaperbackDimensions:116 pages, 23.5 × 15.5 × 0.17 inPublished:November 10, 2015Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319258842

ISBN - 13:9783319258843

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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