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

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.

关键词： Robot Manipulator path-planning multi-agent reinforcement learning kohonen net

作者: Liang Tong

作者单位: Mechanical and Electrical Engineering School Beijing Information Science and Technology University, Beijing,China

会议类型: 国际会议

会议名称: the 2010 International Conference on Frontiers of Manufacturing and Design Science(第一届制造与设计科学国际会议(ICFMD 2010))

会议地点: 重庆

会议语种:英文

页码: 2116-2120

在线出版日期: 2010-12-11（万方平台首次上网日期，不代表论文的发表时间）