首页|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)

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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.”

University of LuxembourgEmerging Techn ologiesMachine LearningRobotRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.26)