• DocumentCode
    3326148
  • Title

    A swarm robotic approach to distributed object pushing using fuzzy controllers

  • Author

    Khozaee, Aida ; Aminaiee, Abdol Hossein ; Ghaffari, Ali

  • Author_Institution
    Fac. of Mech. Eng., K.N.Toosi Univ. of Technol., Tehran
  • fYear
    2009
  • fDate
    22-25 Feb. 2009
  • Firstpage
    1117
  • Lastpage
    1122
  • Abstract
    This research is an attempt to design and develop behaviors for a group of robots to handle an object. A new approach to develop an object pushing system with a large group of mobile robots is introduced. The behaviors are devised in such a way that the robots would easily develop a swarm formation around the object and push it toward the desired goal. A rotating orbit of robots around the object is developed first, and the object is moved toward the goal as the orbit moves to the desired goal configuration. Using a simple decision making, each robot can easily determine its proper action to push the object while remaining in the robot formation. Fuzzy controllers are used to develop behaviors in each robot. In this method, each robot performs individually in the system without a need to any information about other robots in the system. The main characteristics of the developed system are independency of the method to the object kinematics and its shape. Moreover, the method is not dependent on the number of robots in the system. Simulation results are given to support the proposed approach.
  • Keywords
    decision making; distributed control; fuzzy control; mobile robots; multi-robot systems; robot kinematics; decision making; distributed object pushing system; fuzzy controller; mobile robot group; object kinematics; swarm robotic formation; Artificial intelligence; Biomimetics; Design engineering; Fault tolerant systems; Fuzzy control; Intelligent robots; Marine animals; Mechanical engineering; Robot kinematics; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-2678-2
  • Electronic_ISBN
    978-1-4244-2679-9
  • Type

    conf

  • DOI
    10.1109/ROBIO.2009.4913157
  • Filename
    4913157