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Swarm Robotics

Second International Workshop, SAB 2006, Rome, Italy, September 30-October 1, 2006, Revised Selected Papers

  • Editors
  • Erol Şahin
  • William M. Spears
  • Alan F. T. Winfield

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4433)

Table of contents

  1. Front Matter
  2. Wenguo Liu, Alan Winfield, Jin Sa, Jie Chen, Lihua Dou
    Pages 14-26
  3. Spring Berman, Ádám Halász, Vijay Kumar, Stephen Pratt
    Pages 56-70
  4. Christopher M. Cianci, Xavier Raemy, Jim Pugh, Alcherio Martinoli
    Pages 103-115
  5. Renzo De Nardi, Owen Holland
    Pages 116-128
  6. William M. Spears, Jerry C. Hamann, Paul M. Maxim, Thomas Kunkel, Rodney Heil, Dimitri Zarzhitsky et al.
    Pages 129-143
  7. Thomas Schmickl, Christoph Möslinger, Karl Crailsheim
    Pages 144-157
  8. David Miller, Prithviraj Dasgupta, Timothy Judkins
    Pages 158-172
  9. Christos Ampatzis, Elio Tuci, Vito Trianni, Marco Dorigo
    Pages 173-188
  10. Agoston E. Eiben, Geoff S. Nitschke, Martijn C. Schut
    Pages 189-205
  11. Back Matter

About these proceedings

Introduction

Swarm robotics is the study of how large numbers of relatively simple physically embodied agentscanbe designedsuchthat a desiredcollectivebehavioremerges from the local interactions among agents and between the agents and the en- ronment. Swarm robotics has emerged as a novel approach to the coordination of large numbers of robots and is inspired from observation of social insects – ants, termites, wasps and bees – which stand as fascinating examples of how a large number of simple individuals can interact to create collectively intelligent systems. Socialinsects areknownto coordinatetheir actionsto accomplishtasks that are far beyond the capabilities of a single individual: termites build large and complex mounds, army ants organize impressive foraging raids, ants can collectively carry large prey. Such coordination capabilities are still well beyond the reach of current multi-robot systems. Researchon swarmroboticshasseen a signi?cantincreasein the last 5 years. A number of successful swarm robotic systems have now been demonstrated in the laboratory and the study of the design, modelling, implementation and analysis of swarm robotic systems has become a hot topic of research. This workshop was organized within SAB 2006, as a sequel to the successful ?rst swarmroboticsworkshopin2004,withtheaimofreviewingandupdatingrecent advances on the topic. We received 21 full papers (20 research + 1 review) and accepted 14 (13 research + 1 review). Overall, we, as organizers, were pleased with the number of submissions, and a number of our reviewers explicitly commented on the generally high quality of the papers.

Keywords

Navigation algorithm algorithms collective perception decentralized control modeling multi-agent systems optimization robot robotics self-organization swarm communication swarm engineering swarm intelligence swarm navi

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-71541-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-71540-5
  • Online ISBN 978-3-540-71541-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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