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A framework for Cul...
A framework for Culture-aware Robots based on Fuzzy Logic
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- Bruno, Barbara (författare)
- Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy
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- Mastrogiovanni, Fulvio (författare)
- Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy
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- Pecora, Federico, 1977- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
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- Sgorbissa, Antonio (författare)
- Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy
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- Saffiotti, Alessandro, 1960- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2017
- 2017
- Engelska.
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Ingår i: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). - : Institute of Electrical and Electronics Engineers (IEEE). - 9781509060344 - 9781509060351
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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