A fuzzy data-based model for Human-Robot Proxemics

• This work aims at bringing empirical knowledgeon Human-Robot Interaction obtained from user studies closerto being integrated into the capabilities of robots currentlyavailable on the market. The Takagi-Sugeno-Kang method andresults of a user study conducted with thirty two participantswere used to build a fuzzy data-based model for Human-RobotProxemics. The experiment investigated the effect of robotapproach distance and angle on perceived human comfort. Theproposed model, consisting of a set of rules, fuzzy sets and theirparameters, can be used by the robotics community thanksto their formal form. It can also be directly translated intonatural language statements. Results of model cross-validationare reported.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Keyword

human-robot proxemics

fuzzy data-based model

fuzzy logic

Human-Robot Interaction

Publication and Content Type

kon (subject category)

ref (subject category)