Human-robot interactive learning architecture using ontologies and symbol manipulation

Alexandre Angleraud; Quentin Houbre; Ville Kyrki; Roel Pieters

doi:10.1109/ROMAN.2018.8525580

Human-robot interactive learning architecture using ontologies and symbol manipulation

Alexandre Angleraud
, Quentin Houbre
, Ville Kyrki
, Roel Pieters

Automation Technology and Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

8 Citations (Scopus)

27 Downloads (Pure)

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.

Original language	English
Title of host publication	RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication
Subtitle of host publication	August 27-31, 2018, Nanjing, China.
Publisher	IEEE
Pages	384-389
Number of pages	6
ISBN (Electronic)	9781538679807
ISBN (Print)	978-1-5386-7981-4
DOIs	https://doi.org/10.1109/ROMAN.2018.8525580
Publication status	Published - 6 Nov 2018
Publication type	A4 Article in conference proceedings
Event	IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION - Duration: 1 Jan 1900 → …

Publication series

Name	IEEE RO-MAN
ISSN (Print)	1944-9445
ISSN (Electronic)	1944-9437

Conference

Conference	IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION
Period	1/01/00 → …

Funding

ACKNOWLEDGMENT The work presented here is financed by the Academy of Finland project: ”Competitive funding to strengthen university research profiles”, decision number 310325.

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Human-Computer Interaction
Cognitive Neuroscience
Communication
Artificial Intelligence

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10.1109/ROMAN.2018.8525580

roman2018_Angleraud
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Accepted author manuscript, 1.09 MB

http://urn.fi/URN:NBN:fi:tuni-201912136859

Cite this

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title = "Human-robot interactive learning architecture using ontologies and symbol manipulation",

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.",

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Angleraud, A, Houbre, Q, Kyrki, V & Pieters, R 2018, Human-robot interactive learning architecture using ontologies and symbol manipulation. in RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication: August 27-31, 2018, Nanjing, China.. IEEE RO-MAN, IEEE, pp. 384-389, IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, 1/01/00. https://doi.org/10.1109/ROMAN.2018.8525580

Human-robot interactive learning architecture using ontologies and symbol manipulation. / Angleraud, Alexandre; Houbre, Quentin; Kyrki, Ville et al.
RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication: August 27-31, 2018, Nanjing, China.. IEEE, 2018. p. 384-389 (IEEE RO-MAN).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AB - 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.

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Human-robot interactive learning architecture using ontologies and symbol manipulation

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ASJC Scopus subject areas

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