• DocumentCode
    7039
  • Title

    Environmental Monitoring Using Autonomous Aquatic Robots: Sampling Algorithms and Experiments

  • Author

    Jadaliha, Mahdi ; Jongeun Choi

  • Author_Institution
    Dept. of Mech. Eng., Michigan State Univ., East Lansing, MI, USA
  • Volume
    21
  • Issue
    3
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    899
  • Lastpage
    905
  • Abstract
    This brief presents a practical solution to the problem of monitoring an environmental process in a large region by a small number of robotic sensors. Optimal sampling strategies are developed, taking into account the quality of the estimated environmental field and the lifetime of the sensors. We also present experimental results for monitoring a temperature field of an outdoor swimming pool sampled by an autonomous aquatic surface robot. Simulation and experimental results are provided to validate the proposed scheme.
  • Keywords
    environmental factors; mobile robots; sampling methods; underwater vehicles; autonomous aquatic surface robot; environmental monitoring; optimal sampling strategies; outdoor swimming pool; robotic sensors; sampling algorithms; Cost function; Estimation error; Monitoring; Robot sensing systems; Vectors; Environmental monitoring; Kalman filter (KF); mobile sensor networks; sampling algorithms;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2012.2190070
  • Filename
    6172657