Using Scene Similarity for Place Labelling

This paper is about labelling regions of a mobile robot’s workspace using scene appearance similarity. We do this by operating on a single matrix which expresses the pairwise similarity between all captured scenes. We describe and motivate a sequence of a

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Oussama Khatib, Vijay Kumar, Daniela Rus (Eds.)

Experimental Robotics The 10th International Symposium on Experimental Robotics

ABC

Professor Bruno Siciliano, Dipartimento di Informatica e Sistemistica, Università di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy, E-mail: [email protected] Professor Oussama Khatib, Robotics Laboratory, Department of Computer Science, Stanford University, Stanford, CA 94305-9010, USA, E-mail: [email protected] Professor Frans Groen, Department of Computer Science, Universiteit van Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands, E-mail: [email protected]

Editors Prof. Oussama Khatib Professor of Computer Science Artificial Intelligence Laboratory Department of Computer Science Stanford University Stanford, CA 94305-9010 USA E-Mail: [email protected]

Dr. Daniela Rus MIT Computer Science and Artificial Intelligence Laboratory 32-374 Vassar St The Stata Center Cambridge, MA 02139 USA Email: [email protected]

Dr. Vijay Kumar Department of Mechanical Engineering & Applied Mechanics University of Pennsylvania 3330 Walnut Street Levine Hall, GRW 470 Philadelphia, PA 19104 USA E-Mail: [email protected]

ISBN 978-3-540-77456-3

e-ISBN 978-3-540-77457-0

Springer Tracts in Advanced Robotics

ISSN 1610-7438

Library of Congress Control Number: 2007941940 c 2008 

Springer-Verlag Berlin Heidelberg

This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable for prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, 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. Typesetting by the authors and Scientific Publishing Services Pvt. Ltd. Printed in acid-free paper 543210 springer.com

Editorial Advisory Board

EUR ON

Herman Bruyninckx, KU Leuven, Belgium Raja Chatila, LAAS, France Henrik Christensen, Georgia Institute of Technology, USA Peter Corke, CSIRO, Australia Paolo Dario, Scuola Superiore Sant’Anna Pisa, Italy Rüdiger Dillmann, Universität Karlsruhe, Germany Ken Goldberg, UC Berkeley, USA John Hollerbach, University of Utah, USA Makoto Kaneko, Osaka University, Japan Lydia Kavraki, Rice University, USA Sukhan Lee, Sungkyunkwan University, Korea Tim Salcudean, University of British Columbia, Canada Sebastian Thrun, Stanford University, USA Yangsheng Xu, Chinese University of Hong Kong, PRC Shin’ichi Yuta, Tsukuba University, Japan

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