• DocumentCode
    2552647
  • Title

    Energy-aware coverage control with docking for robot teams

  • Author

    Derenick, Jason ; Michael, Nathan ; Kumar, Vijay

  • Author_Institution
    GRASP Laboratory, University of Pennsylvania, Philadelphia, 19104, USA
  • fYear
    2011
  • fDate
    25-30 Sept. 2011
  • Firstpage
    3667
  • Lastpage
    3672
  • Abstract
    In this paper, we formulate a distributed, energy-aware control policy aimed at enabling persistent surveillance of a specified region of interest by teams of networked robots. Central to our formulation is the fundamental idea that as an agent participating in coverage approaches a low energy reserve the team should cooperatively adjust the coverage formation to allow the agent to return to a designated base station, where it can recharge before rejoining the effort. Towards this end, we build upon recent efforts in employing Centroidal Voronoi Tessellation (CVT)-based coverage control laws by defining a policy that exploits a power-dependent weighting scheme that embeds an agent´s trade-off to achieve its coverage mission and to maintain a desired energy reserve to guarantee its own safety. Stability of the proposed approach is considered, and we show that coupling our continuous controller with a straightforward switching mechanism guarantees every agent will return to its base station safely. Simulation results are presented to verify and demonstrate the utility of the proposed control scheme.
  • Keywords
    Base stations; Convergence; Mathematical model; Robot sensing systems; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-61284-454-1
  • Type

    conf

  • DOI
    10.1109/IROS.2011.6094977
  • Filename
    6094977