Distributed Autonomous Robotic Systems

The 13th International Symposium

  • Roderich Groß
  • Andreas Kolling
  • Spring Berman
  • Emilio Frazzoli
  • Alcherio Martinoli
  • Fumitoshi Matsuno
  • Melvin Gauci

Part of the Springer Proceedings in Advanced Robotics book series (SPAR, volume 6)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Distributed Coverage and Exploration

    1. Front Matter
      Pages 1-1
    2. Ragesh K. Ramachandran, Sean Wilson, Spring Berman
      Pages 3-16
    3. Elizabeth A. Jensen, London Lowmanstone, Maria Gini
      Pages 17-30
    4. Luca Giuggioli, Idan Arye, Alexandro Heiblum Robles, Gal A. Kaminka
      Pages 31-43
    5. Daniel Mox, Anthony Cowley, M. Ani Hsieh, C. J. Taylor
      Pages 45-58
    6. Marta Romeo, Jacopo Banfi, Nicola Basilico, Francesco Amigoni
      Pages 59-71
  3. Multi-Robot Control

    1. Front Matter
      Pages 73-73
    2. Rotem Manor, Alfred M. Bruckstein
      Pages 103-116
    3. Alyxander Burns, Bernd Schulze, Audrey St. John
      Pages 133-146
    4. David Saldaña, Amanda Prorok, Mario F. M. Campos, Vijay Kumar
      Pages 147-159
  4. Multi-Robot Estimation

    1. Front Matter
      Pages 161-161
    2. Gal A. Kaminka, Ilan Lupu, Noa Agmon
      Pages 163-175
    3. Chetan D. Pahlajani, Indrajeet Yadav, Herbert G. Tanner, Ioannis Poulakakis
      Pages 177-190
    4. Mehran Zareh, Lorenzo Sabattini, Cristian Secchi
      Pages 191-204
    5. Golnaz Habibi, Sándor P. Fekete, Zachary Kingston, James McLurkin
      Pages 205-218
    6. Patricio J. Cruz, Christoph Hintz, Jonathan West, Rafael Fierro
      Pages 219-233

About this book


Distributed robotics is an interdisciplinary and rapidly growing area, combining research in computer science, communication and control systems, and electrical and mechanical engineering. Distributed robotic systems can autonomously solve complex problems while operating in highly unstructured real-world environments. They are expected to play a major role in addressing future societal needs, for example, by improving environmental impact assessment, food supply, transportation, manufacturing, security, and emergency and rescue services. The goal of the International Symposium on Distributed Autonomous Robotic Systems (DARS) is to provide a forum for scientific advances in the theory and practice of distributed autonomous robotic systems.

This volume of proceedings include 47 original contributions presented at the 13th International Symposium on Distributed Autonomous Robotic Systems (DARS 2016), which was held at the Natural History Museum in London, UK, from November 7th to 9th, 2016. The selected papers in this volume are authored by leading researchers from around the world, thereby providing a broad coverage and perspective of the state-of-the-art technologies, algorithms, system architectures, and applications in distributed robotic systems. The book is organized into seven parts, representative of critical long-term and emerging research thrusts in the multi-robot community: Distributed Coverage and Exploration; Multi-Robot Control; Multi-Robot Estimation; Multi-Robot Planning; Modular Robots and Smart Materials; Swarm Robotics; and Multi-Robot Systems in Applications.




Autonomous Robots Cooperative Action Cooperative Perception DARS 2016 Distributed Robots Sensor Networks Swarm Intelligence

Editors and affiliations

  • Roderich Groß
    • 1
  • Andreas Kolling
    • 2
  • Spring Berman
    • 3
  • Emilio Frazzoli
    • 4
  • Alcherio Martinoli
    • 5
  • Fumitoshi Matsuno
    • 6
  • Melvin Gauci
    • 7
  1. 1.Department of Automatic Control and Systems EngineeringUniversity of SheffieldSheffieldUnited Kingdom
  2. 2.Department of Automatic Control and Systems EngineeringUniversity of SheffieldSheffieldUnited Kingdom
  3. 3.School for Engineering of Matter, Transport and Energy (SEMTE)Arizona State UniversityTempeUSA
  4. 4.Massachusetts Institute of TechnologyCambridgeUSA
  5. 5.ENAC, IIE, DIALÉcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
  6. 6.Department of Mechanical Engineering and ScienceKyoto UniversityKyotoJapan
  7. 7.Wyss Institute for Biologically Inspired EngineeringHarvard University Wyss Institute for Biologically InspiredCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-73008-0
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-73006-6
  • Online ISBN 978-3-319-73008-0
  • Series Print ISSN 2511-1256
  • Series Online ISSN 2511-1264
  • About this book