Deep learning in robotics: a review of recent research. (18th August 2017)

• Record Type: Journal Article
• Authors: Pierson, Harry A.; Gashler, Michael S.
• Is Part Of: Advanced robotics. Volume 31:Number 16(2017)
• Page Start: 821
• Page End: 835
• Publication Date: 2017-08-18
• Subjects: Deep neural networks -- artificial intelligence -- human–robot interaction; Robotics -- Periodicals; Robotics -- Japan -- Periodicals; Robotics; Japan; Periodicals; 629.89205
• DOI: 10.1080/01691864.2017.1365009
• Languages: English
• ISSNs: 0169-1864

Abstract

Abstract: 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 30 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. Abstract :