Evolutional Methods for Creating Artificial Intelligence of Robotic Technical Systems

Abstract

This paper considers evolutionary methods of symbolic regression for the creation of artificial intelligence of robotic systems. Methods of symbolic regression are reviewed and the features of their application to the solution of the problem of synthesis of control of robotic systems are indicated. The measure of the complexity of artificial intelligence is determined and the advantage of using the principle of small variations of the basic solution is shown, while creating intelligent control systems. A method of variational genetic programming is described and an example of its use for the synthesis of intellectual control is given.

Experimental Data Acquisition of Vibration Force in Direct Current Motor for Mini Sumo Robot

“…In addition, DC motors are an ideal way of achieving the miniaturization that is so desirable to designers. Because of the fact that these properties many manufacturer prefer DC motor for robotic applications [1][2][3]. A mechanical commutator is used to transmit input current into their armature windings by DC motors.…”

“…Vibration forces created by DC motors used in mini sumo robots have negative effects on the parts connected to them. Therefore it is critical to analyse the effects of the vibration forces created by these motors [2][3][4][5][6][7][8]. Sumo robot is among the world wide favourite tournament classifications of robot competitions.…”