Accelerating humanoid robot learning from human action skills using context-aware middleware

Charles C. Phiri, Zhaojie Ju, Honghai Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

In this paper we propose the creation of context-aware middleware to solve the challenge of integrating disparate incompatible systems involved in the teaching of human action skills to robots. Context-aware middleware provides the solution to retrofitting capabilities onto existing robots (agents) and bridges the technology differences between systems. The experimental results demonstrate a framework for handling situational and contextual data for robot Learning from Demonstration.
Original languageEnglish
Title of host publicationIntelligent Robotics and Applications
Subtitle of host publication9th International Conference, ICIRA 2016, Tokyo, Japan, August 22-24, 2016, Proceedings, Part I
EditorsNaoyuki Kubota, Kazuo Kiguchi, Honghai Liu, Takenori Obo
PublisherSpringer
Pages563-574
Number of pages12
ISBN (Print)978-3-319-43505-3, 978-3-319-43506-0
DOIs
Publication statusPublished - 3 Aug 2016
Event9th International Conference on Intelligent Robotics and Applications: ICIRA 2016 - Tokyo, Japan
Duration: 22 Aug 201624 Aug 2016
http://www.comp.sd.tmu.ac.jp/icira2016/

Publication series

NameLecture Notes in Computer Science
Volume9834
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Intelligent Robotics and Applications
Country/TerritoryJapan
CityTokyo
Period22/08/1624/08/16
Internet address

Keywords

  • context-aware middleware
  • JSON-LD
  • SLAM

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