  Advances in deep learning over the last decade have led to a flurry of
research in the application of deep artificial neural networks to robotic
systems, with at least thirty papers published on the subject between 2014 and
the present. This review discusses the applications, benefits, and limitations
of deep learning vis-\`a-vis physical robotic systems, using contemporary
research as exemplars. It is intended to communicate recent advances to the
wider robotics community and inspire additional interest in and application of
deep learning in robotics.
