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A fuzzy data-based model for Human-Robot Proxemics

Tomasz Kosiński (Institutionen för tillämpad informationsteknologi, Interaktionsdesign (Chalmers)) ; Mohammad Obaid (Institutionen för tillämpad informationsteknologi, Interaktionsdesign (Chalmers)) ; Pawel W. Wozniak (Institutionen för tillämpad informationsteknologi, Interaktionsdesign (Chalmers)) ; Morten Fjeld (Institutionen för tillämpad informationsteknologi, Interaktionsdesign (Chalmers)) ; Jacek Kucharski
Robot and Human Interactive Communication (RO-MAN), 2016 25th IEEE International Symposium on p. 335-340. (2016)
[Konferensbidrag, refereegranskat]

This work aims at bringing empirical knowledge on Human-Robot Interaction obtained from user studies closer to being integrated into the capabilities of robots currently available on the market. The Takagi-Sugeno-Kang method and results of a user study conducted with thirty two participants were used to build a fuzzy data-based model for Human-Robot Proxemics. The experiment investigated the effect of robot approach distance and angle on perceived human comfort. The proposed model, consisting of a set of rules, fuzzy sets and their parameters, can be used by the robotics community thanks to their formal form. It can also be directly translated into natural language statements. Results of model cross-validation are reported.

Nyckelord: Human-Robot Interaction, fuzzy logic, fuzzy data-based model, human-robot proxemics,


Art nr 7745152



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Denna post skapades 2016-12-13. Senast ändrad 2017-01-23.
CPL Pubid: 246089

 

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Institutioner (Chalmers)

Institutionen för tillämpad informationsteknologi, Interaktionsdesign (Chalmers) (2011-2017)

Ämnesområden

Informations- och kommunikationsteknik
Datorsystem

Chalmers infrastruktur