Common approaches to this problem include lifelong learning, continual learning, and curriculum learning frameworks. However, a critical aspect of advancing autonomy in robotic systems lies in understanding the role of human influence. Specifically, how humans can guide, or even dictate, what knowledge robots should acquire and how they should acquire it. In essence, this involves examining how humans provide purpose to robots and how robots, in turn, align their learning and behavior to meet human expectations and demands.