Bionic learning algorithm and its application on hexapod robot´s unknown environment exploration

This paper apply operant conditioning automata to bionic behavior which used for hexapod robot at unknown environment exploration and construct an independent phototatic operant conditioning model used for hexapod robot. Aim at the problem of the overflow of probability and the sum of all probability not equal to one, the learning mechanism has been ameliorative and the improved learning mechanism also been proved that the sum of all probability influenced by it equal to 1.Result of the emulation experiment enunciate: According to the improved operant conditioning automata, The hexapod robot learn independent phototatic behavior and have capability of independent learning. This paper also apply learning algorithm to hexapod robot physical object. Result of independent phototatic experiment show that the hexapod robot which base on improved operant conditioning automata have independent phototatic ability.