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Distributed Autonomous Robotic Systems

15th International Symposium

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Fumitoshi Matsuno

    1. Mechanical Engineering and Science, Kyoto University, Kyoto, Japan

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  2. Shun-ichi Azuma

    1. Mechanical Systems Engineering, Nagoya University, Nagoya, Japan

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  3. Masahito Yamamoto

    1. Computer Science and Information Technology, Hokkaido University, Sapporo, Japan

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  • Presents the state of the art in distributed autonomous systems
  • Shows the scientific outcome of the 15th International Symposium on Distributed Autonomous Robotic Systems
  • Has been written by leading experts in distributed autonomous systems

Part of the book series: Springer Proceedings in Advanced Robotics (SPAR, volume 22)

Included in the following conference series:

Conference proceedings info: DARS 2021.

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Table of contents (33 papers)

  1. Front Matter

    Pages i-xiii
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  2. Generating Goal Configurations for Scalable Shape Formation in Robotic Swarms

    • Hanlin Wang, Michael Rubenstein
    Pages 1-15

  3. Leading a Swarm with Signals

    • Nofar Menashe, Noa Agmon
    Pages 16-30

  4. Byzantine Fault Tolerant Consensus for Lifelong and Online Multi-robot Pickup and Delivery

    • Kegan Strawn, Nora Ayanian
    Pages 31-44

  5. Decentralized Multi-robot Planning in Dynamic 3D Workspaces

    • Arjav Desai, Nathan Michael
    Pages 45-57

  6. Optimized Direction Assignment in Roadmaps for Multi-AGV Systems Based on Transportation Flows

    • Valerio Digani, Lorenzo Sabattini
    Pages 58-69

  7. Datom: A Deformable Modular Robot for Building Self-reconfigurable Programmable Matter

    • Benoît Piranda, Julien Bourgeois
    Pages 70-81

  8. The Impact of Network Connectivity on Collective Learning

    • Michael Crosscombe, Jonathan Lawry
    Pages 82-94

  9. On the Communication Requirements of Decentralized Connectivity Control

    • Jacopo Panerati, Benjamin Ramtoula, David St-Onge, Yanjun Cao, Marcel Kaufmann, Aidan Cowley et al.
    Pages 95-107

  10. Behavioral Simulations of Lattice Modular Robots with VisibleSim

    • Pierre Thalamy, Benoît Piranda, André Naz, Julien Bourgeois
    Pages 108-119

  11. Evolving Robust Supervisors for Robot Swarms in Uncertain Complex Environments

    • Elliott Hogg, David Harvey, Sabine Hauert, Arthur Richards
    Pages 120-133

  12. Distributed Cooperative Localization with Efficient Pairwise Range Measurements

    • Anwar Quraishi, Alcherio Martinoli
    Pages 134-147

  13. Robust Localization for Multi-robot Formations: An Experimental Evaluation of an Extended GM-PHD Filter

    • Michiaki Hirayama, Alicja Wasik, Mitsuhiro Kamezaki, Alcherio Martinoli
    Pages 148-162

  14. Opportunistic Multi-robot Environmental Sampling via Decentralized Markov Decision Processes

    • Ayan Dutta, O. Patrick Kreidl, Jason M. O’Kane
    Pages 163-175

  15. A PHD Filter Based Localization System for Robotic Swarms

    • R. A. Thivanka Perera, Chengzhi Yuan, Paolo Stegagno
    Pages 176-189

  16. An Innate Motivation to Tidy Your Room: Online Onboard Evolution of Manipulation Behaviors in a Robot Swarm

    • Tanja Katharina Kaiser, Christine Lang, Florian Andreas Marwitz, Christian Charles, Sven Dreier, Julian Petzold et al.
    Pages 190-201

  17. Multi-agent Reinforcement Learning and Individuality Analysis for Cooperative Transportation with Obstacle Removal

    • Takahiro Niwa, Kazuki Shibata, Tomohiko Jimbo
    Pages 202-213

  18. Battery Variability Management for Swarms

    • Grace Diehl, Julie A. Adams
    Pages 214-226

  19. Spectral-Based Distributed Ergodic Coverage for Heterogeneous Multi-agent Search

    • Guillaume Sartoretti, Ananya Rao, Howie Choset
    Pages 227-241

  20. Multi-agent Deception in Attack-Defense Stochastic Game

    • Xueting Li, Sha Yi, Katia Sycara
    Pages 242-255
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Other volumes

  1. Distributed Autonomous Robotic Systems

Keywords

About this book

This book presents the state of the art in distributed autonomous systems composed of multiple robots, robotic modules, or robotic agents. Swarms in nature can not only adapt to their environments, but can also construct suitable habitats to their own advantage. Distributed autonomous robotic systems can do many things that its individuals cannot do alone. As the global pandemic was still ongoing, the 15th International Symposium on Distributed Autonomous Robotic Systems (DARS2021) was held on June 1–4, 2021, as an online meeting. The scope of DARS201 was to create a bridge between biologists and engineers interested in the distributed intelligence of living things and to establish a new academic field by integrating knowledge from both disciplines. Topics of DARS2021 were swarm intelligence, swarm robotics, multi-agent system, modular robotics, decentralized control, distributed system, etc. The papers in this book provide a very good overview of the state of the art in distributedautonomous robotic systems (DARS). They reflect current research themes in DARS with important contributions. We hope that this book helps to sustain the interest in DARS and triggers new research.

 

 


Editors and Affiliations

  • Mechanical Engineering and Science, Kyoto University, Kyoto, Japan

    Fumitoshi Matsuno

  • Mechanical Systems Engineering, Nagoya University, Nagoya, Japan

    Shun-ichi Azuma

  • Computer Science and Information Technology, Hokkaido University, Sapporo, Japan

    Masahito Yamamoto

Bibliographic Information

  • Book Title: Distributed Autonomous Robotic Systems

  • Book Subtitle: 15th International Symposium

  • Editors: Fumitoshi Matsuno, Shun-ichi Azuma, Masahito Yamamoto

  • Series Title: Springer Proceedings in Advanced Robotics

  • DOI: https://doi.org/10.1007/978-3-030-92790-5

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-92789-9Published: 04 January 2022

  • Softcover ISBN: 978-3-030-92792-9Published: 05 January 2023

  • eBook ISBN: 978-3-030-92790-5Published: 03 January 2022

  • Series ISSN: 2511-1256

  • Series E-ISSN: 2511-1264

  • Edition Number: 1

  • Number of Pages: XIII, 444

  • Number of Illustrations: 12 b/w illustrations, 181 illustrations in colour

  • Topics: Control, Robotics, Mechatronics, Computational Intelligence, Robotics

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