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A framework for culture-aware robots based on fuzzy logic
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9652-7864
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
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2017 (English)In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Institute of Electrical and Electronics Engineers (IEEE), 2017Conference paper, Published paper (Refereed)
Abstract [en]

Cultural adaptation, i.e., the matching of a robot's behaviours to the cultural norms and preferences of its user, is a well known key requirement for the success of any assistive application. However, culture-dependent robot behaviours are often implicitly set by designers, thus not allowing for an easy and automatic adaptation to different cultures. This paper presents a method for the design of culture-aware robots, that can automatically adapt their behaviour to conform to a given culture. We propose a mapping from cultural factors to related parameters of robot behaviours which relies on linguistic variables to encode heterogeneous cultural factors in a uniform formalism, and on fuzzy rules to encode qualitative relations among multiple variables. We illustrate the approach in two practical case studies.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017.
Series
IEEE International Conference on Fuzzy Systems, E-ISSN 1098-7584
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-62924DOI: 10.1109/FUZZ-IEEE.2017.8015750Scopus ID: 2-s2.0-85030179964ISBN: 9781509060344 (electronic)ISBN: 9781509060351 (print)OAI: oai:DiVA.org:oru-62924DiVA: diva2:1162041
Conference
IEEE International Conference on Fuzzy Systems (FUZZ 2017), Royal Continental Hotel, Naples, Italy, July 9-12, 2017
Funder
EU, Horizon 2020, 737858
Available from: 2017-12-01 Created: 2017-12-01 Last updated: 2018-01-13Bibliographically approved

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Pecora, FedericoSaffiotti, Alessandro

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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