In order to improve the control effect of robot motion trajectory, a fuzzy control scheme of robot based on multi-objective optimization clone algorithm was proposed.The hierarchical dominance relation and multiplication mechanism of the clonal variation algorithm were analyzed, and the performance of the algorithm was optimized based on the multi-objective optimization strategy; the optimal solution of the ideal curve was identified based on the objective function vector and the trajectory optimization and dynamic control compensation of the robot system were realized. The simulation platform was built to verify the effectiveness of the proposed control algorithm, and the collected motion data of each joint of the robot were compared. The results show that by using the proposed algorithm, the trajectory control deviation is smaller, and the control trajectory is closer to the ideal trajectory, especially in the condition of adding noise and interference signals, the advantage of the control effect is more obvious