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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lemaignan, S., Warnier, M., Sisbot, E., Clodic, A., Alami, R.: Artificial cognition for social human–robot interaction: an implementation. Artif. Intell. 247, 45–69 (2017)
Kryuchkov, B., Syrkin, L., Usov, V., Ivanko, D., Ivanko, D.: Using augmentative and alternative communication for human-robot interaction during maintaining habitability of a lunar base. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds.) ICR 2017. LNCS (LNAI), vol. 10459, pp. 95–104. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66471-2_11
Andreev, V., Pletenev, P.: Method of information interaction for distributed control systems of robots with modular architecture. SPIIRAS Proc. 2(57), 134–160 (2018)
Korzun, D., Kashevnik, A.: Balandin S.: Novel Design and the Applications of Smart-M3 Platform in the Internet of Things: Emerging Research and Opportunities, p. 150 (2017)
Mikhailov, S., Kashevnik, A.: Smart-M3-based smart space creation using a DD-WRTbased device. SPIIRAS Proc. 3(52), 180–203 (2017)
Luo, Y., Liu, J., Gao, Y., Lu, Z.: Smartphone-controlled robot snake for urban search and rescue. In: Zhang, X., Liu, H., Chen, Z., Wang, N. (eds.) ICIRA 2014. LNCS (LNAI), vol. 8917, pp. 352–363. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-13966-1_35
Seo, Y., Jung, H., Lee, C., Yang, T.: Remote data acquisition and touch-based control of a mobile robot using a smart phone. Comm. Comp. Inf. Sc. 265, 219–226 (2011)
Wang, M., Ganjineh, T., Gohring, D.: Reuschenbach, A.: iDriver - human machine interface for autonomous cars. In: 2011 Eighth International Conference on Information Technology: New Generations (ITNG), Las Vegas, NV, pp. 435–440 (2011)
Chua, C., Foo, F., Lee, L.: Interactive methods of tele-operating a single unmanned ground vehicle on a small screen interface. In: Proceedings of the 6th International Conference on Human-Robot Interaction (HRI 2011), p. 121. ACM Press, New York (2011)
Chen, G., King, S.A., Scherger, M.: Robot remote control using bluetooth and a smartphone augmented system. In: Yang, D. (ed.) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol. 133, pp. 453–463. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-25992-0_63
Abdullahi, Z., Muhammad, N., Kazaure, J., Amuda, F.: Mobile robot voice recognition in control movements. Int. J. Comput. Sci. Electron. Eng. (IJCSEE) 3(1), 11–16 (2015)
Varcholik, P., Barber, D., Nicholson, D.: Interactions and training with unmanned systems and the nintendo wiimote. In: Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), Orlando, Florida, USA, no. 8255 (2008)
Jokisch, O., Huber, M.: Advances in the development of a cognitive user interface. In: 13th International Scientific-Technical Conference on Electromechanics and Robotics “Zavalishin’s Readings”, vol. 161, 6 p. (2018)
Gundelakh, F., Stankevich, L., Sonkin, K.: Mobile robot control based on noninvasive brain-computer interface using hierarchical classifier of imagined motor commands. In: 13th International Scientific-Technical Conference on Electromechanics and Robotics “Zavalishin’s Readings”, vol. 161, 5 p. (2018)
IEEE Robotics and Automation Society. IEEE Standard Ontologies for Robotics and Automation (2015)
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-99582-3_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99581-6
Online ISBN: 978-3-319-99582-3
eBook Packages: Computer ScienceComputer Science (R0)