• DocumentCode
    2169671
  • Title

    Cooperative Reinforcement Learning: Brief Survey and Application to Bio-insect and Artificial Robot Interaction

  • Author

    Son, Ji-Hwan ; Ahn, Hyo-Sung

  • Author_Institution
    Dept. of Mechatron., Gwangju Inst. of Sci. & Technol., Gwangju
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    71
  • Lastpage
    76
  • Abstract
    In this paper, we address our on-going research called BRIDS that is a trial to formulate bio-insect and artificial robot interaction based on reinforcement learning. First we briefly review relevant research works in this field. Since cooperation among mobile agents is a key technology, we examine cooperative reinforcement learning. Specifically we will briefly review the concept of area of expertise in cooperative learning area. In fact bio-insect and artificial robot interaction has been studied in Leurre. Our research, however, has a key difference from Leurre in that it is to drive bio-insect by coordination of a group of mobile robots towards a desired point. In author´s best knowledge, driving bio-insect towards a desired point based on fully autonomous coordination of multiple mobile agents has not been studied in existing publications.
  • Keywords
    human-robot interaction; learning (artificial intelligence); mobile robots; multi-robot systems; artificial robot interaction; autonomous coordination; bioinsect; cooperative reinforcement learning; mobile robots; multiple mobile agents; Algorithm design and analysis; Animals; Artificial intelligence; Distributed control; Intelligent robots; Learning; Mobile robots; Robot kinematics; Robot sensing systems; Service robots; Area of expertise; Bio-insect and artificial Robot Interaction on the base of Distributed Systems (BRIDS); Reinforcement learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechtronic and Embedded Systems and Applications, 2008. MESA 2008. IEEE/ASME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2367-5
  • Electronic_ISBN
    978-1-4244-2368-2
  • Type

    conf

  • DOI
    10.1109/MESA.2008.4735723
  • Filename
    4735723