Towards robot skill learning: from simple skills to table tennis

摘要: Learning robots that can acquire new motor skills and refine existing ones have been a long-standing vision of both robotics, machine learning. However, off-the-shelf learning appears not to be adequate for robot skill learning, as it neither scales anthropomorphic robotics nor do fulfills the crucial real-time requirements. As an alternative, we propose divide generic problem into parts well-understood from point view. In this context, developed methods applicable This paper discusses recent progress ranging simple problems game table tennis.