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Robot Learning from Demonstration in Robotic Assembly: A Survey

School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK
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Robotics 2018, 7(2), 17; https://doi.org/10.3390/robotics7020017
Received: 11 February 2018 / Revised: 6 April 2018 / Accepted: 12 April 2018 / Published: 16 April 2018
(This article belongs to the Special Issue Feature Papers)
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. View Full-Text
Keywords: learning from demonstration; imitation learning; robotic assembly; machine learning learning from demonstration; imitation learning; robotic assembly; machine learning
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Zhu, Z.; Hu, H. Robot Learning from Demonstration in Robotic Assembly: A Survey. Robotics 2018, 7, 17.

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