Rigidity maintenance control for multi-robot systems

  • Daniel Zelazo
  • , Antonio Franchi
  • , Frank Allgöwer
  • , Heinrich H. Bülthoff
  • , Paolo Robuffo Giordano

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    36 Citations (Scopus)

    Abstract

    Rigidity of formations in multi-robot systems is important for formation control, localization, and sensor fusion. This work proposes a rigidity maintenance gradient controller for a multi-Agent robot team. To develop such a controller, we first provide an alternative characterization of the rigidity matrix and use that to introduce the novel concept of the rigidity eigenvalue. We provide a necessary and sufficient condition relating the positivity of the rigidity eigenvalue to the rigidity of the formation. The rigidity maintenance controller is based on the gradient of the rigidity eigenvalue with respect to each robot position. This gradient has a naturally distributed structure, and is thus amenable to a distributed implementation. Additional requirements such as obstacle and inter-Agent collision avoidance, as well as typical constraints such as limited sensing/communication ranges and line-of-sight occlusions, are also explicitly considered. Finally, we present a simulation with a group of seven quadrotor UAVs to demonstrate and validate the theoretical results.

    Original languageEnglish
    Title of host publicationRobotics
    Subtitle of host publicationScience and Systems VIII
    EditorsNicholas Roy, Paul Newman, Siddhartha Srinivasa
    PublisherMIT Press Journals
    Pages473-480
    Number of pages8
    ISBN (Print)9780262519687
    Publication statusPublished - 2013
    EventInternational Conference on Robotics Science and Systems, RSS 2012 - Sydney, Australia
    Duration: 2012 Jul 92012 Jul 13

    Publication series

    NameRobotics: Science and Systems
    Volume8
    ISSN (Print)2330-7668
    ISSN (Electronic)2330-765X

    Other

    OtherInternational Conference on Robotics Science and Systems, RSS 2012
    Country/TerritoryAustralia
    CitySydney
    Period12/7/912/7/13

    Bibliographical note

    Publisher Copyright:
    © 2013 Massachusetts Institute of Technology.

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Control and Systems Engineering
    • Electrical and Electronic Engineering

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