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Robot Learning from Demonstration in Robotic Assembly: A Survey

Zhu, Zuyuan and Hu, Huosheng (2018) 'Robot Learning from Demonstration in Robotic Assembly: A Survey.' Robotics, 7 (2). ISSN 2218-6581

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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.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 20 Nov 2018 14:55
Last Modified: 17 Feb 2020 14:15

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