Approach to controlling robot by artificial brain based on parallel evolutionary neural network

A novel approach to building an intelligent robot, which can be expected to show many intelligent behaviors as people do, is proposed. This approach exploits a computer device called Tesla S1070, a personal supercomputer, to control a humanoid robot named NAO. The Tesla S1070 acts as a human head, in which thousands of artificial neural network, the basis of an artificial brain (AB), evolve in a parallel way and act as a human brain. The CUDA (Computing Unified Device Architecture) technology is employed to solve the key problem, i.e., how to improve the evolution speed of thousands of neural network. The general architecture of this approach, the reason why the Tesla S1070 is selected, and how the data structure of neural net modules should be modified to meet the demands of CUDA are presented in detail. This approach provides a method both for controlling a robot by the AB, and for demonstrating the power of the AB through a robot.