Fuzzy logic approach proposal for human-robot interaction modelling
Ładowanie...
Data
2016
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
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.
Opis
Słowa kluczowe
fuzzy logic, man-machine systems, multimodal modelling, Human-Robot Interaction, logika rozmyta, systemy człowiek-maszyna, modelowanie multimodalne, interakcja człowiek-robot
Cytowanie
Kosiński T., Kucharski J., Fuzzy logic approach proposal for human-robot interaction modelling. W: Algorithms, Networking and Sensing for Data Processing, Mobile Computing and Applications, Romanowski A. (red.), Sankowski D. (red), Sikora J. (red.), Lodz University of Technology Press, Łódź 2016, s. 141-152, ISBN 978-83-7283-738-7.