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Distributed Autonomous Robotic Systems

16th International Symposium

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Julien Bourgeois

    1. University of Franche-Comté, Montbéliard, France

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  2. Jamie Paik

    1. École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

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  3. Benoît Piranda

    1. CNRS, University of Franche-Comté, Besancon, France

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  4. Justin Werfel

    1. Harvard University, Boston, USA

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  5. Sabine Hauert

    1. University of Bristol, Bristol, UK

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  6. Alyssa Pierson

    1. Boston University, Boston, USA

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  7. Heiko Hamann

    1. University of Lübeck, Lubeck, Germany

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  8. Tin Lun Lam

    1. The Chinese University of Hong Kong, Shenzhen, Shenzhen, China

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  9. Fumitoshi Matsuno

    1. Kyoto University, Kyoto, Japan

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  10. Negar Mehr

    1. University of Illinois System, Urbana, USA

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  11. Abdallah Makhoul

    1. University of Franche-Comté, Montbéliard, France

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  • Presents state of the art in autonomous systems composed of multiple robots, robotic modules, or robotic agents
  • Is scientific outcome of the 16th International Symposium on Distributed Autonomous Robotic Systems (DARS 2022)
  • Written by leading experts in distributed autonomous systems

Part of the book series: Springer Proceedings in Advanced Robotics (SPAR, volume 28)

Included in the following conference series:

Conference proceedings info: DARS 2022.

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Table of contents (39 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. How Can We Understand Multi-Robot Systems? a User Study to Compare Implicit and Explicit Communication Modalities

    • Valeria Villani, Cristina Vercellino, Lorenzo Sabattini
    Pages 1-13

  3. The Benefits of Interaction Constraints in Distributed Autonomous Systems

    • Michael Crosscombe, Jonathan Lawry
    Pages 14-27

  4. Outlining the Design Space of eXplainable Swarm (xSwarm): Experts’ Perspective

    • Mohammad Naiseh, Mohammad D. Soorati, Sarvapali Ramchurn
    Pages 28-41

  5. VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning

    • Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok
    Pages 42-56

  6. FLAM: Fault Localization and Mapping

    • Guillaume Ricard, David Vielfaure, Giovanni Beltrame
    Pages 57-68

  7. Social Exploration in Robot Swarms

    • Elliott Hogg, David Harvey, Sabine Hauert, Arthur Richards
    Pages 69-82

  8. Stochastic Nonlinear Ensemble Modeling and Control for Robot Team Environmental Monitoring

    • Victoria Edwards, Thales C. Silva, M. Ani Hsieh
    Pages 83-99

  9. A Decentralized Cooperative Approach to Gentle Human Transportation with Mobile Robots Based on Tactile Feedback

    • Yi Zhang, Yuichiro Sueoka, Hisashi Ishihara, Yusuke Tsunoda, Koichi Osuka
    Pages 100-112

  10. Sparse Sensing in Ergodic Optimization

    • Ananya Rao, Ian Abraham, Guillaume Sartoretti, Howie Choset
    Pages 113-126

  11. Distributed Multi-robot Tracking of Unknown Clustered Targets with Noisy Measurements

    • Jun Chen, Philip Dames, Shinkyu Park
    Pages 127-139

  12. A Force-Mediated Controller for Cooperative Object Manipulation with Independent Autonomous Robots

    • Nicole E. Carey, Justin Werfel
    Pages 140-155

  13. A Distributed Architecture for Onboard Tightly-Coupled Estimation and Predictive Control of Micro Aerial Vehicle Formations

    • I. Kagan Erunsal, Rodrigo Ventura, Alcherio Martinoli
    Pages 156-172

  14. Search Space Illumination of Robot Swarm Parameters for Trustworthy Interaction

    • James Wilson, Sabine Hauert
    Pages 173-186

  15. Collective Gradient Following with Sensory Heterogeneous UAV Swarm

    • Tugay Alperen Karagüzel, Nicolas Cambier, A. E. Eiben, Eliseo Ferrante
    Pages 187-201

  16. DAN: Decentralized Attention-Based Neural Network for the MinMax Multiple Traveling Salesman Problem

    • Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti
    Pages 202-215

  17. Receding Horizon Control on the Broadcast of Information in Stochastic Networks

    • Thales C. Silva, Li Shen, Xi Yu, M. Ani Hsieh
    Pages 216-230

  18. Adaptation Strategy for a Distributed Autonomous UAV Formation in Case of Aircraft Loss

    • Tagir Muslimov
    Pages 231-242

  19. DGORL: Distributed Graph Optimization Based Relative Localization of Multi-robot Systems

    • Ehsan Latif, Ramviyas Parasuraman
    Pages 243-256

  20. Characterization of the Design Space of Collective Braitenberg Vehicles

    • Jack A. Defay, Alexandra Q. Nilles, Kirstin Petersen
    Pages 257-272
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  1. Distributed Autonomous Robotic Systems

Keywords

About this book

This book of the SPAR series contains 39 scientific articles presented in the Distributed Autonomous Robotic Systems conference organized in November 28–30, 2022, in Montbéliard, France.


The contributions are covering a broad scope of topics within distributed robotics including mobile sensor networks, unmanned aerial vehicles, multi-agent systems, algorithms for multi-robot systems, modular robots, swarm robotics, and reinforcement learning or deep learning applied to multi-robot systems.

Editors and Affiliations

  • University of Franche-Comté, Montbéliard, France

    Julien Bourgeois, Abdallah Makhoul

  • École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Jamie Paik

  • CNRS, University of Franche-Comté, Besancon, France

    Benoît Piranda

  • Harvard University, Boston, USA

    Justin Werfel

  • University of Bristol, Bristol, UK

    Sabine Hauert

  • Boston University, Boston, USA

    Alyssa Pierson

  • University of Lübeck, Lubeck, Germany

    Heiko Hamann

  • The Chinese University of Hong Kong, Shenzhen, Shenzhen, China

    Tin Lun Lam

  • Kyoto University, Kyoto, Japan

    Fumitoshi Matsuno

  • University of Illinois System, Urbana, USA

    Negar Mehr

About the editors


Bibliographic Information

  • Book Title: Distributed Autonomous Robotic Systems

  • Book Subtitle: 16th International Symposium

  • Editors: Julien Bourgeois, Jamie Paik, Benoît Piranda, Justin Werfel, Sabine Hauert, Alyssa Pierson, Heiko Hamann, Tin Lun Lam, Fumitoshi Matsuno, Negar Mehr, … Abdallah Makhoul

  • Series Title: Springer Proceedings in Advanced Robotics

  • DOI: https://doi.org/10.1007/978-3-031-51497-5

  • 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 2024

  • Hardcover ISBN: 978-3-031-51496-8Published: 01 February 2024

  • Softcover ISBN: 978-3-031-53703-5Due: 03 March 2024

  • eBook ISBN: 978-3-031-51497-5Published: 31 January 2024

  • Series ISSN: 2511-1256

  • Series E-ISSN: 2511-1264

  • Edition Number: 1

  • Number of Pages: XII, 564

  • Number of Illustrations: 17 b/w illustrations, 227 illustrations in colour

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

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