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Human-robot interactive learning architecture using ontologies and symbol manipulation

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

Details

Original languageEnglish
Title of host publicationRO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication
Subtitle of host publicationAugust 27-31, 2018, Nanjing, China.
PublisherIEEE
Pages384-389
Number of pages6
ISBN (Electronic)9781538679807
ISBN (Print)978-1-5386-7981-4
DOIs
Publication statusPublished - 6 Nov 2018
Publication typeA4 Article in a conference publication
EventIEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION -
Duration: 1 Jan 1900 → …

Publication series

NameIEEE RO-MAN
ISSN (Print)1944-9445
ISSN (Electronic)1944-9437

Conference

ConferenceIEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION
Period1/01/00 → …

Abstract

Robotic systems developed for support can provide assistance in various ways. However, regardless of the service provided, the quality of user interaction is key to adoption by the general public. Simple communication difficulties, such as terminological differences, can make or break the acceptance of robots. In this work we take into account these difficulties in communication between a human and a robot. We propose a system that allows to handle unknown concepts through symbol manipulation based on natural language interactions. In addition, ontologies are used as a convenient way to store the knowledge and reason about it. To demonstrate the use of our system, two scenarios are described and tested with a Care-O-Bot 4. The experiments show that confusions and difficulties in communication can effectively be resolved through symbol manipulation.