Deep learning enables the robot to perceive its immediate environment, including the location and movement of its limbs. Reinforcement learning means improving  at a task by trial and error. A robot with these two skills could refine its performance based on real-time feedback.

Applications for such a skilled robot might range from helping humans with tedious housekeeping chores to assisting in highly detailed surgery. In fact, Abbeel says, “Robots might even be able to teach other robots.” Or humans?

Source: Deep learning helps robots perfect skills | KurzweilAI