Abstract
The paper presents an approach to human-robot interaction in socio-cyberphysical systems. The paper propose a socio-cyberphysical system ontology that is aimed at describing the knowledge of the system resources. Humans are interacted with robots using personal smartphones. Every robot and mobile application for smartphone are designed based on the ontology that allows to support their semantic interoperability in socio-cyberphysical system. A case study considered in the paper is aimed at controlling the robots by group of humans. Group of robot consists of several robot types. Every type of robot has competencies that are described in the robot competency profile. Human experts also have own competencies that are described in the human profile. To control a robot a human should be available and have an appropriate competency for such type of robot. The paper describes the developed prototype for Android-based smartphone. The prototype implements the proposed approach and based on the developed ontology and Smart-M3 information sharing platform.
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Acknowledgements
The work has been partially financially supported by grants #16-29-04349, 16-07-00462 of Russian Foundation for Basic Research, by Russian State Research #0073-2018-0002, and by ITMO University (Project #617038).
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Kashevnik, A. et al. (2018). Ontology-Based Human-Robot Interaction: An Approach and Case Study on Adaptive Remote Control Interface. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2018. Lecture Notes in Computer Science(), vol 11097. Springer, Cham. https://doi.org/10.1007/978-3-319-99582-3_13
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