University of Luxembourg Researchers Update Current Data on Robotics (DFL-TORO: A One-Shot Demonstration Framework for Learning Time-Optimal Robotic Manufacturi ng Tasks)
University of Luxembourg Researchers Update Current Data on Robotics (DFL-TORO: A One-Shot Demonstration Framework for Learning Time-Optimal Robotic Manufacturi ng Tasks)
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一项关于机器人的新研究现已问世。根据新闻报道卢森堡大学的NewsRx Jour Nalist，研究称，"本文介绍了DFL-TORO，"一种基于单镜头运动觉学习时间最优机器人任务的演示框架恶魔中心。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now availab le. According to news reporting from theUniversity of Luxembourg by NewsRx jour nalists, research stated, “This paper presents DFL-TORO,a novel Demonstration F ramework for Learning Time-Optimal Robotic tasks via One-shot kinestheticdemons tration.”
Key words
University of Luxembourg/Emerging Techn ologies/Machine Learning/Robot/Robotics/Robots
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