Graph-Based motor primitive generation method of UAVs based on Demonstration-Based learning

Yunsick Sung, Jeonghoon Kwak, Jonghyuk Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationAdvanced Multimedia and Ubiquitous Engineering - Future Information Technology
EditorsHamid Arabnia, Neil Y. Yen, Han-Chieh Chao, James J. Park
PublisherSpringer Verlag
Pages509-510
Number of pages2
ISBN (Print)9783662478943
DOIs
StatePublished - 2016
Event10th International Conference on Future Information Technology, FutureTech 2015 - Hanoi, Viet Nam
Duration: 18 May 201520 May 2015

Publication series

NameLecture Notes in Electrical Engineering
Volume354
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference10th International Conference on Future Information Technology, FutureTech 2015
Country/TerritoryViet Nam
CityHanoi
Period18/05/1520/05/15

Keywords

  • AR.Drone 2.0
  • Demonstration learning
  • Motor primitive
  • UAV

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