• DocumentCode
    870042
  • Title

    V-Lab-a virtual laboratory for autonomous agents-SLA-based learning controllers

  • Author

    El-Osery, Aly I. ; Burge, John ; Jamshidi, Mo ; Saba, Antony ; Fathi, Madjid ; Akbarzadeh-T, Mohammad-R

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • Volume
    32
  • Issue
    6
  • fYear
    2002
  • fDate
    12/1/2002 12:00:00 AM
  • Firstpage
    791
  • Lastpage
    803
  • Abstract
    In this paper, we present the use of stochastic learning automata (SLA) in multiagent robotics. In order to fully utilize and implement learning control algorithms in the control of multiagent robotics, an environment for simulation has to be first created. A virtual laboratory for simulation of autonomous agents, called V-Lab is described. The V-Lab architecture can incorporate various models of the environment as well as the agent being trained. A case study to demonstrate the use of SLA is presented.
  • Keywords
    discrete event simulation; learning (artificial intelligence); learning automata; multi-agent systems; robots; stochastic processes; V-Lab; autonomous agents; learning control algorithms; learning controllers; multiagent robotics; simulation; stochastic learning automata; virtual laboratory; Automatic control; Humans; Intelligent robots; Laboratories; Learning automata; Manipulator dynamics; Robot kinematics; Robotic assembly; Robotics and automation; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2002.1049613
  • Filename
    1049613