Research on Path-Planning of Manipulator Based on Multi-Agent Reinforcement Learning

Abstract:

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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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$35.00

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