Fuzzy logic approach proposal for human-robot interaction modelling
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Scientists need to look into the future and address the issues not yet anticipated in the society, especially those directly concerning its members safety and life. It is not a new conclusion to say that robots are becoming more and more sophisticated in their forms and actions. The humanity will soon face machines known to date from science-fiction literature only- resembling humans by appearance and behavior to an utmost extent. In the presented work, the Authors have proposed a fuzzy logic approach for Human-Robot Interaction (HRI) modelling, considering factors of two levels of interaction between a person and a machine: physical and psychological. The factors are, respectively: the distance between a person and a robot and the robot's performance, defined also using reliability and dependability terms. The proposal was based mainly on the qualitative knowledge obtained from the HRI experiments, with a support of available, limited quantitative data. This is to assure that when the sophisticated robot will knock at human's door, it will be able to interact with him in a way as close to seamless as possible. It is worth to note that the presented chapter proposes ( 1) a formalized modelling approach for HRI research work purposes and (2) the use of fuzzy logic to model intuitively·understood and interpreted relations between humans and robots.