Paper Title:
Research on Path-Planning of Manipulator Based on Multi-Agent Reinforcement Learning
  Abstract

Because of the dynamic characteristic of high nonlinear,strong coupling and variable structure,it is difficult to perform effective controlling on the robot manipulator by conventional controlling theory.In this paper,a new approach of multi-agent reinforcement learning method based on Kohonen net is proposed which is used in the multi-agent environment of robot manipulator path-planning and the simulation experiment shows the validity of this method.

  Info
Periodical
Edited by
Ran Chen
Pages
2116-2120
DOI
10.4028/www.scientific.net/AMM.44-47.2116
Citation
L. Tong, "Research on Path-Planning of Manipulator Based on Multi-Agent Reinforcement Learning", Applied Mechanics and Materials, Vols. 44-47, pp. 2116-2120, 2011
Online since
December 2010
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