Skip to main content
SpringerLink
Log in

Parallel and Distributed Map Merging and Localization

Algorithms, Tools and Strategies for Robotic Networks

  • Book
  • © 2015

Overview

Authors:
  1. Rosario Aragues

    1. Instituto de Investigación en Ingeniería de Aragón,University of Zaragoza, Saragoza, Spain

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Carlos Sagüés

    1. Instituto de Investigación en Ingeniería de Aragón, University of Zaragoza, Saragoza, Spain

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Youcef Mezouar

    1. Institut Pascal, CNRS, Clermont Université, IFMA, Clermont-Ferrand, France

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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)

  • 3315 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Introduction

    • Rosario Aragues, Carlos Sagues, Youcef Mezouar
    Pages 1-10

  3. Distributed Data Association

    • Rosario Aragues, Carlos Sagues, Youcef Mezouar
    Pages 11-36

  4. Distributed Localization

    • Rosario Aragues, Carlos Sagues, Youcef Mezouar
    Pages 37-64

  5. Map Merging

    • Rosario Aragues, Carlos Sagues, Youcef Mezouar
    Pages 65-87

  6. Real Experiments

    • Rosario Aragues, Carlos Sagues, Youcef Mezouar
    Pages 89-105

  7. Conclusions

    • Rosario Aragues, Carlos Sagues, Youcef Mezouar
    Pages 107-108

  8. Back Matter

    Pages 109-116
    Download chapter PDF
Back to top

Keywords

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

  • Instituto de Investigación en Ingeniería de Aragón,University of Zaragoza, Saragoza, Spain

    Rosario Aragues

  • Instituto de Investigación en Ingeniería de Aragón, University of Zaragoza, Saragoza, Spain

    Carlos Sagüés

  • Institut Pascal, CNRS, Clermont Université, IFMA, Clermont-Ferrand, France

    Youcef Mezouar

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation