Research on Path-planning of Manipulator based on Multi-agent Reinforcement Learning

被引：0
|
作者：
Tong, Liang [1 ]
机构：
[1] Beijing Informat Sci & Technol Univ, Mech & Elect Engn Sch, Beijing, Peoples R China
来源：
FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE, PTS 1-4 | 2011年 / 44-47卷
关键词：
Robot Manipulator; path-planning; multi-agent reinforcement learning; kohonen net;
D O I：
10.4028/www.scientific.net/AMM.44-47.2116
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：2116 / 2120
页数：5
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