Research on Path-Planning of Manipulator Based on Multi-Agent Reinforcement Learning
Liang Tong · Applied Mechanics and Materials · 2010
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.