  Over the last several years, use cases for robotics based solutions have
diversified from factory floors to domestic applications. In parallel, Deep
Learning approaches are replacing traditional techniques in Computer Vision,
Natural Language Processing, Speech processing, etc. and are delivering robust
results. Our goal is to survey a number of research internship projects in the
broad area of 'Deep Learning as applied to Robotics' and present a concise view
for the benefit of aspiring student interns. In this paper, we survey the
research work done by Robotic Institute Summer Scholars (RISS), CMU. We
particularly focus on papers that use deep learning to solve core robotic
problems and also robotic solutions. We trust this would be useful particularly
for internship aspirants for the Robotics Institute, CMU
