A learning dynamics model for robot

A new ANN (artificial neural network) structure is proposed to learn dynamics model of robot. The characterizing feature is that some integral units are appended to a recurrent ANN structure, so it can image dynamic process commendably. Generalization capacity of the learning dynamics model is discussed, as well as its application in optimization, etc. The effectiveness of the method is confirmed by simulated experiments but based on a real robot.