Abstract
The main aim of this article is to show what is possible to use mobile devices with verification of adaptivity. We focused on creating applications for the control of robots Lego Mindstorms EV3 verification adaptivity, which uses fuzzy approach. We have used classical fuzzy rules of if-then type. The antecedent contains the measured values from infrared sensors and the consequent contains action response of individual engines of the robot. With this application, it will be able to control the robot via Wi-Fi while, there will be a possibility to bring the robot mode that will move through the maze without bumping into some of the walls. An integral part of the work is also a theoretical basis for adaptive robot control and autonomy. Part of this article describe of creating of applications, their comparison to other existing applications and experiments with the resulting application. The application perfectly functioned on the created experimental environments, including the adaptive mode.
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Acknowledgements
The research described here has been financially supported by the University of Ostrava grant SGS04/PrF/2018.
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Konvicka, J., Kotyrba, M., Volna, E., Habiballa, H., Bradac, V. (2019). Adaptive Control of EV3 Robot Using Mobile Devices and Fuzzy Logic. In: Kim, K., Baek, N. (eds) Information Science and Applications 2018. ICISA 2018. Lecture Notes in Electrical Engineering, vol 514. Springer, Singapore. https://doi.org/10.1007/978-981-13-1056-0_40
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DOI: https://doi.org/10.1007/978-981-13-1056-0_40
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