Abstract
In recent years, various techniques, such as Neural Network, Deep Learning and Genetic Programming(GP), to realize the adaptive behavior of the robot have been proposed. This paper aims to construct the control structure of the robot moving in the real world to realize the adaptive behavior through Evolutionary Hardware approach. The proposal method mentioned in this paper tries to build a gate network consisted of NAND gates by using Cellular Automaton and the adequate rule set of the Cellular Automaton is obtained by Genetic Algorithm(GA). And it is applied to the position control problem of the two-linked manipulator to confirm the effectiveness.
