@inproceedings{db253d339fff46b2a1b88b9c583d34f3,
title = "Graph-Based motor primitive generation method of UAVs based on Demonstration-Based learning",
abstract = "Motor primitive generation approach is essential technique to improve the quality of UAVs. In this paper, demonstration-based learning is applied to generate motor primitives. By collecting and merging command signals of UAVs, one graph-based motor primitive was generated.",
keywords = "AR.Drone 2.0, Demonstration learning, Motor primitive, UAV",
author = "Yunsick Sung and Jeonghoon Kwak and Jonghyuk Park",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2016.; 10th International Conference on Future Information Technology, FutureTech 2015 ; Conference date: 18-05-2015 Through 20-05-2015",
year = "2016",
doi = "10.1007/978-3-662-47895-0_62",
language = "English",
isbn = "9783662478943",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "509--510",
editor = "Hamid Arabnia and Yen, {Neil Y.} and Han-Chieh Chao and Park, {James J.}",
booktitle = "Advanced Multimedia and Ubiquitous Engineering - Future Information Technology",
address = "Germany",
}