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. 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. In this paper, we survey the research work done by Robotic Institute Summer Scholars (RISS), CMU as a part of research internship. 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
翻译:我们的目标是在“深入学习适用于机器人”的广泛领域调查一些研究实习项目,为有志学生实习生提供一个简明的视角。在过去几年里,机器人解决方案的使用案例从工厂楼层到国内应用都多种多样。与此同时,深学习方法正在取代计算机愿景、自然语言处理、语音处理等传统技术,并正在产生强有力的结果。在这份文件中,我们调查机器人研究所暑期学者(RISS)的研究工作,CMU作为研究实习的一部分。我们特别侧重于利用深学习解决核心机器人问题和机器人解决方案的论文。我们相信,这将特别有益于机器人研究所的实习,CMU。