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Robot Learning from Demonstration in Robotic Assembly: A Survey

Zuyuan Zhu, Huosheng Hu

发表年份
2018
引用次数
251
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摘要

Learning from demonstration (LfD) has been used to help robots to implement manipulation tasks autonomously, in particular, to learn manipulation behaviors from observing the motion executed by human demonstrators. This paper reviews recent research and development in the field of LfD. The main focus is placed on how to demonstrate the example behaviors to the robot in assembly operations, and how to extract the manipulation features for robot learning and generating imitative behaviors. Diverse metrics are analyzed to evaluate the performance of robot imitation learning. Specifically, the application of LfD in robotic assembly is a focal point in this paper.

关键词

RobotImitationFocus (optics)Artificial intelligenceRobot learningComputer scienceField (mathematics)Human–computer interactionPoint (geometry)Engineering

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