Multi-robot coordination based on ontologies and semantic web service

Yuichiro Mori, Yuhei Ogawa, Akatsuki Hikawa, Takahira Yamaguchi

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

Service robots are currently not able to provide complex services because service robots with physical structures have been developed for a specific service and there is a limit to the tasks a robot can do alone. In this paper, we approach this problem by using multi-robot coordination services in which robots are linked and a wide range of services can be executed using the concept of semantic web service (SWS). SWS facilitates the automation of discovering and combing processes that are multiple web services. Service robots execute a service as a combination of the processes that one or multiple robots can execute. The process can be executed as the combination of multiple program modules. Therefore, we propose a multi-layer architecture. In this case study, we show how to automatically execute coordination services using our architecture and evaluate the usability of our architecture.

Original languageEnglish
Title of host publicationKnowledge Management and Acquisition for Smart Systems and Services - 13th Pacific Rim Knowledge Acquisition Workshop, PKAW 2014, Proceedings
EditorsYang Sok Kim, Byeong Ho Kang, Deborah Richards
PublisherSpringer Verlag
Pages150-164
Number of pages15
ISBN (Electronic)9783319133317
Publication statusPublished - 2014 Jan 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8863
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Multi-robot coordination
  • Ontologies
  • Semantic web service

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Mori, Y., Ogawa, Y., Hikawa, A., & Yamaguchi, T. (2014). Multi-robot coordination based on ontologies and semantic web service. In Y. S. Kim, B. H. Kang, & D. Richards (Eds.), Knowledge Management and Acquisition for Smart Systems and Services - 13th Pacific Rim Knowledge Acquisition Workshop, PKAW 2014, Proceedings (pp. 150-164). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8863). Springer Verlag.