Juggling requires humans to intake information, analyze it, and act accordingly, all at a speed that surpasses standard human reaction times. This project hoped to gain insight into how this is possible by simulating a juggling robot that inputs feedback similar to how a human would through a game development engine called Unity. The robot performed a three ball cascade with the knowledge of the balls' exact positions. When this knowledge was restricted, the balls' initial velocities and simulated visual feedback were used to juggle. Comparing the two feedback systems through three objective tests yielded a better understanding of how humans juggle, which can be applied to help design more dexterous robots.