Human intention reading by fuzzy cognitive map: A human-robot cooperative object carrying task

Ji Hyeong Han, Jong Hwan Kim

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

3 Scopus citations

Abstract

Considering the symbiosis between humans and robots in coming years, robots should be able to infer the implicit human intention for the efficient human-robot interaction. This paper focuses on the human-robot cooperation problem among the various fields of human-robot interaction. The human intention reading method using fuzzy cognitive map for the efficient human-robot cooperation is proposed along with the algorithm which decides the appropriate behavior of a robot with the recognized human intention. The effectiveness of the proposed method is demonstrated through computer simulation on human-robot cooperative object carrying task.

Original languageEnglish
Title of host publicationAn Edition of the Presented Papers from the 1st International Conference on Robot Intelligence Technology and Applications
PublisherSpringer Verlag
Pages127-135
Number of pages9
ISBN (Print)9783642373732
DOIs
StatePublished - 2013
Event1st International Conference on Robot Intelligence Technology and Applications, RiTA 2012 - Gwangju, Korea, Republic of
Duration: 16 Dec 201218 Dec 2012

Publication series

NameAdvances in Intelligent Systems and Computing
Volume208 AISC
ISSN (Print)2194-5357

Conference

Conference1st International Conference on Robot Intelligence Technology and Applications, RiTA 2012
Country/TerritoryKorea, Republic of
CityGwangju
Period16/12/1218/12/12

Keywords

  • fuzzy cognitive map
  • human intention reading method
  • Human-robot interaction

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