• DocumentCode
    2870125
  • Title

    Decision-making in a multi-robot system for odor source localization

  • Author

    Lu, Qiang ; Han, Qing-Long

  • Author_Institution
    Centre for Intell. & Networked Syst., Central Queensland Univ., Rockhampton, QLD, Australia
  • fYear
    2011
  • fDate
    7-10 Nov. 2011
  • Firstpage
    74
  • Lastpage
    79
  • Abstract
    This paper deals with the problem of odor source localization using multiple mobile robots. A cooperative control solution, which is used to coordinate the robot group to locate the odor source, is proposed and independently executed by each robot. Firstly, a particle filter, which can estimate the position of the odor source by using all observations among the robot group, is used. Secondly, based on the estimated position of the odor source, a movement direction is planned by a leader robot, which currently detects odor clues. Thirdly, two decision-making control laws, which can enable the robot group to make a parallel motion or a circular motion in terms of the planned direction and the estimated position of the odor source, are developed. Finally, the performance capabilities of the proposed cooperative control solution are illustrated for the problem of odor source localization.
  • Keywords
    centralised control; cooperative systems; decision making; electronic noses; mobile robots; multi-robot systems; navigation; particle filtering (numerical methods); circular motion; cooperative control solution; decision-making control laws; movement direction; multiple mobile robot; multirobot system; odor source localization; parallel motion; particle filter; planned direction; position estimation; robot group coordination; Mathematical model; Multirobot systems; Position measurement; Robot kinematics; Time measurement; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Melbourne, VIC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-61284-969-0
  • Type

    conf

  • DOI
    10.1109/IECON.2011.6119291
  • Filename
    6119291