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

  • Charles C. Phiri*
  • , Zhaojie Ju
  • , Honghai Liu
  • *Corresponding author for this work
  • University of Portsmouth

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

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 - 9th International Conference, ICIRA 2016, Proceedings
EditorsHonghai Liu, Naoyuki Kubota, Takenori Obo, Kazuo Kiguchi
PublisherSpringer Verlag
Pages563-574
Number of pages12
ISBN (Print)9783319435053
DOIs
StatePublished - 2016
Externally publishedYes
Event9th International Conference on Intelligent Robotics and Applications, ICIRA 2016 - Tokyo, Japan
Duration: 22 Aug 201624 Aug 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9834 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Intelligent Robotics and Applications, ICIRA 2016
Country/TerritoryJapan
CityTokyo
Period22/08/1624/08/16

Keywords

  • Context-aware middleware
  • JSON-LD
  • SLAM

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