• DocumentCode
    716397
  • Title

    Observability in topology-constrained multi-robot target tracking

  • Author

    Williams, Ryan K. ; Sukhatme, Gaurav S.

  • Author_Institution
    Depts. of Electr. Eng. & Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    1795
  • Lastpage
    1801
  • Abstract
    In this paper, we consider the problem of controlling a multi-robot team in order to track a mobile target with unknown dynamics. Our contribution in this context is a non-linear observability analysis of the target tracking network, which yields insights into the topological and actuation conditions necessary for the underlying state estimation problem. We demonstrate a metric of observability which allows us to determine robot inputs that maximize observability to improve team localization. Combining the observability metric with topological control then yields a robust target tracking solution. We close the paper with a simulation example which demonstrates the ability of our solution to cope with scenarios in which relative measurements poorly distinguish the target.
  • Keywords
    mobile robots; multi-robot systems; observability; state estimation; target tracking; topology; actuation condition; mobile target tracking; multirobot team control; nonlinear observability analysis; observability metric; state estimation problem; team localization; topological condition; topological control; topology-constrained multirobot target tracking; Estimation; Observability; Robot sensing systems; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139431
  • Filename
    7139431