Parallel and Distributed Map Merging and Localization Algorithms, To
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 w
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Rosario Aragues Carlos Sagues Youcef Mezouar
Parallel and Distributed Map Merging and Localization Algorithms, Tools and Strategies for Robotic Networks 123
SpringerBriefs in Computer Science Series editors Stan Zdonik, Brown University, Providence, USA Shashi Shekhar, University of Minnesota, Minneapolis, USA Jonathan Katz, University of Maryland, College Park, USA Xindong Wu, University of Vermont, Burlington, USA Lakhmi C. Jain, University of South Australia, Adelaide, Australia David Padua, University of Illinois Urbana-Champaign, Urbana, USA Xuemin (Sherman) Shen, University of Waterloo, Waterloo, Canada Borko Furht, Florida Atlantic University, Boca Raton, USA V.S. Subrahmanian, University of Maryland, College Park, USA Martial Hebert, Carnegie Mellon University, Pittsburgh, USA Katsushi Ikeuchi, University of Tokyo, Tokyo, Japan Bruno Siciliano, Università di Napoli Federico II, Napoli, Italy Sushil Jajodia, George Mason University, Fairfax, USA Newton Lee, Newton Lee Laboratories, LLC, Tujunga, USA
More information about this series at http://www.springer.com/series/10028
Rosario Aragues Carlos Sagues Youcef Mezouar •
Parallel and Distributed Map Merging and Localization Algorithms, Tools and Strategies for Robotic Networks
123
Rosario Aragues Instituto de Investigación en Ingeniería de Aragón University of Zaragoza Saragossa Spain
Youcef Mezouar Institut Pascal, CNRS Clermont Université, IFMA Clermont-Ferrand France
Carlos Sagues Instituto de Investigación en Ingeniería de Aragón University of Zaragoza Saragossa Spain
ISSN 2191-5768 ISSN 2191-5776 (electronic) SpringerBriefs in Computer Science ISBN 978-3-319-25884-3 ISBN 978-3-319-25886-7 (eBook) DOI 10.1007/978-3-319-25886-7 Library of Congress Control Number: 2015952999 Springer Cham Heidelberg New York Dordrecht London © The Author(s) 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Med
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