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Volume 10 Issue 4
July  1995
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Yao Shu, Zhang Bo. Situated Learning of a Behavior-Based Mobile Robot Path Planner[J]. Journal of Computer Science and Technology, 1995, 10(4): 375-379.
Citation: Yao Shu, Zhang Bo. Situated Learning of a Behavior-Based Mobile Robot Path Planner[J]. Journal of Computer Science and Technology, 1995, 10(4): 375-379.
shu

Situated Learning of a Behavior-Based Mobile Robot Path Planner

  • Department of Computer Science and Technology; Tsinghua UnivereityBeijing 100084;

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  • Published Date: July 09, 1995
    Abstract
  • In this paper, we propose a behaviorbased path planner that can self learn in anunknown environment. A situated learning algorithm is designed which allows therobot to learn to coordinate several concurrent behaviors and improve its performanceby interacting with the environmellt. Behaviors are implemented using CMAC neuralnetworks. A simulation environment is set up and some simulation experiments arecarried out to rest our learning algorithm.
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    • References (3)
  • [1]
    Brooks.R.A. A robust layered control system for a mobile robot.IEEE Journal on Robotics and Automation, 1986, RA-2: 14-23.
    [2]
    Albus.J.S. A new approach to manipulator control: The cerebellar model articulation controller (CMAC). Trans.ASME, J. Dynamic Syst. Meas. Contr., 1975, 97: 220-227.
    [3]
    Verschure.P.F et al. Distributed adaptive control: The self-organization of structured behavior.Robotics and Autonomous Systems, 1992, 9:181-196. ……….
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