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Towards Norm Realiz...
Towards Norm Realization in Institutions Mediating Human-Robot Societies
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- Wasik, Alicja (författare)
- Distributed Intelligent Systems and Algorithms Laboratory, School of Archiecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Switzerland
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- Tomic, Stevan, 1981- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
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- Saffiotti, Alessandro, Professor, 1960- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
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- Pecora, Federico, 1977- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
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- Martinoli, Alcherio (författare)
- Distributed Intelligent Systems and Algorithms Laboratory, School of Archiecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Switzerland
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- Lima, Pedro U. (författare)
- Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa, Portugal
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(creator_code:org_t)
- IEEE, 2018
- 2018
- Engelska.
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Ingår i: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). - : IEEE. - 9781538680940 - 9781538680957 ; , s. 297-304
- 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
- Social norms are the understandings that govern the behavior of members of a society. As such, they regulate communication, cooperation and other social interactions. Robots capable of reasoning about social norms are more likely to be recognized as an extension of our human society. However, norms stated in a form of the human language are inherently vague and abstract. This allows for applying norms in a variety of situations, but if the robots are to adhere to social norms, they must be capable of translating abstract norms to the robotic language. In this paper we use a notion of institution to realize social norms in real robotic systems. We illustrate our approach in a case study, where we translate abstract norms into concrete constraints on cooperative behaviors of humans and robots. We investigate the feasibility of our approach and quantitatively evaluate the performance of our framework in 30 real experiments with user-based evaluation with 40 participants.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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