Using PID with any of the intelligently optimized techniques is one of the latest and most efficient techniques used. This type of hybrid control strategy has advantages of both the conventional and advance intelligent techniques. Multi objective Genetic Algorithm optimizes PID controller is being commonly used these days. Hence, in this paper a MOGA optimized PID controller is developed for the trajectory tracking of a robotic manipulator. Pareto Frontiers have been obtained from the MOGA Optimized PID controller. Obtained results from the developed intelligent PID controller elucidate the efficiency of the proposed controller when compared to conventionally tuned PID controller.