Robot control using self-organizing fuzzy logic

Abstract A theoretical investigation is described that attempts to demonstrate fuzzy logic is an effective alternative algorithm for use in robot manipulator control. Employing such a control law avoids the need for a mathematical description of the robot and the algorithm is still able to compensate for the changing process characteristics that occur during operation. It is shown by employing a motion strategy, that synchronous motion of the manipulator joints can be achieved.