Motor primitive generation framework for NAOs in ubiquitous applications

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Abstract

Robots currently being developed for ubiquitous applications contain diverse kinds of system components to smoothly control themselves and the mutual synchronization among one another to achieve their predefined goals. Given that motor primitives determine a robot's capabilities, research on how to define and generate such primitives is crucial to understanding the core techniques of robotic control. One method that generates motor primitives of greater variety than other methods is based on learning by demonstration. However, the generated motor primitives are similar when compared by a Euclidean-distance algorithm. This necessitates a mechanism that can accurately compare two motor primitives. In this paper, a NAO framework that generates motor primitives and compares them accurately is proposed. In an experiment in which the framework was applied to a NAO, 1487 candidate motor primitives were generated and 40 were utilized.

Original languageEnglish
Title of host publicationUbiquitous Information Technologies and Applications, CUTE 2013
PublisherSpringer Verlag
Pages141-145
Number of pages5
ISBN (Print)9783642416705
DOIs
StatePublished - 2014
Event8th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2013 - Danang, Viet Nam
Duration: 18 Dec 201320 Dec 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume280 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference8th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2013
Country/TerritoryViet Nam
CityDanang
Period18/12/1320/12/13

Keywords

  • Human-Robot Interaction
  • Motor Primitive
  • NAO
  • Q-learning

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