Studying the optimal configurations of the hardware and program platform of the mobile robotic system for solving movement tasks in uncertainty conditions

Автор: Smolyakov M.V., Frolov A.I., Volkov V.N.

Журнал: Форум молодых ученых @forum-nauka

Статья в выпуске: 1-3 (29), 2019 года.

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The article is devoted to the study of hardware and software systems for use in mobile robotic systems. With their help, you can successfully solve problems of computer vision; prediction, pattern recognition, etc. One of the problems of building systems using these technologies is a large computational cost, therefore, to build mobile robotic complexes, you should choose optimized hardware and software platforms. In this paper, the most promising and optimal data platform. With their help, you can flexibly develop software and embed them in embeddable hardware solutions.

Embedded systems, neural networks, machine learning, pattern recognition

Короткий адрес: https://sciup.org/140284962

IDR: 140284962

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