In order to improve the accuracy of the repetitive motion trajectory tracking control for industrial robots of less rapid demanding, an online adaptive PD iterative learning control algorithm is proposed. In order to improve the accuracy, PD parameters are optimized online at each sampling time with the advantage of genetic algorithm for global optimization. In order to avoid overshoot, penalty...