Deep Learning in Robotics: A Review of Recent Research
It synthesizes existing research to inform and inspire the robotics field, but is incremental as it reviews rather than introduces new methods.
This review paper discusses the applications, benefits, and limitations of deep learning in robotics, based on at least thirty papers published from 2014 onward, aiming to communicate recent advances to the robotics community.
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-à-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.