Control of autonomous robot using neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F17%3AA1801QXZ" target="_blank" >RIV/61988987:17310/17:A1801QXZ - isvavai.cz</a>
Result on the web
<a href="http://aip.scitation.org/doi/abs/10.1063/1.4992224" target="_blank" >http://aip.scitation.org/doi/abs/10.1063/1.4992224</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/1.4992224" target="_blank" >10.1063/1.4992224</a>

Result language
angličtina
Original language name
Control of autonomous robot using neural networks
Original language description
The aim of the article is to design a method of control of an autonomous robot using artificial neural networks. The introductory part describes control issues from the perspective of autonomous robot navigation and the current mobile robots controlled by neural networks. The core of the article is the design of the controlling neural network, and generation and filtration of the training set using ART1 (Adaptive Resonance Theory). The outcome of the practical part is an assembled Lego Mindstorms EV3 robot solving the problem of avoiding obstacles in space. To verify models of an autonomous robot behavior, a set of experiments was created as well as evaluation criteria. The speed of each motor was adjusted by the controlling neural network with respect to the situation in which the robot was found.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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