Evolving Aggregation Behaviors in Multi-Robot Systems with Binary Sensors
This paper investigates a non-traditional sensing trade-off in swarm robotics: one in which each robot has a relatively long sensing range, but processes a minimal amount of information. Aggregation is used as a case study, where randomly-placed robots ar
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M. Ani Hsieh Gregory Chirikjian Editors
Distributed Autonomous Robotic Systems The 11th International Symposium
Springer Tracts in Advanced Robotics Editors Prof. Bruno Siciliano Dipartimento di Ingegneria Elettrica e Tecnologie dell’Informazione Università degli Studi di Napoli Federico II Via Claudio 21, 80125 Napoli Italy E-mail: [email protected]
For further volumes: http://www.springer.com/series/5208
Prof. Oussama Khatib Artificial Intelligence Laboratory Department of Computer Science Stanford University Stanford, CA 94305-9010 USA E-mail: [email protected]
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Oliver Brock, TU Berlin, Germany Herman Bruyninckx, KU Leuven, Belgium Raja Chatila, ISIR - UPMC & CNRS, France Henrik Christensen, Georgia Tech, USA Peter Corke, Queensland Univ. Technology, Australia Paolo Dario, Scuola S. Anna Pisa, Italy Rüdiger Dillmann, Univ. Karlsruhe, Germany Ken Goldberg, UC Berkeley, USA John Hollerbach, Univ. Utah, USA Makoto Kaneko, Osaka Univ., Japan Lydia Kavraki, Rice Univ., USA Vijay Kumar, Univ. Pennsylvania, USA Sukhan Lee, Sungkyunkwan Univ., Korea Frank Park, Seoul National Univ., Korea Tim Salcudean, Univ. British Columbia, Canada Roland Siegwart, ETH Zurich, Switzerland Gaurav Sukhatme, Univ. Southern California, USA Sebastian Thrun, Stanford Univ., USA Yangsheng Xu, Chinese Univ. Hong Kong, PRC Shin’ichi Yuta, Tsukuba Univ., Japan
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M. Ani Hsieh · Gregory Chirikjian Editors
Distributed Autonomous Robotic Systems The 11th International Symposium
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Editors M. Ani Hsieh Mechanical Engineering and Mechanics Drexel University 3141 Chestnut St. Randell 115 Philadelphia, PA 19104 USA e-mail: [email protected]
Gregory Chirikjian Department of Mechanical Engineering Johns Hopkins University 3400 N. Charles St. 223 Latrobe Hall Baltimore, MD 21218 USA e-mail: [email protected]
ISSN 1610-7438 ISSN 1610-742X (electronic) ISBN 978-3-642-55145-1 ISBN 978-3-642-55146-8 (eBook) DOI 10.1007/978-3-642-55146-8 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2014938113 c Springer-Verlag Berlin Heidelberg 2014 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof
