vino-dk / brio-learning

Deep learning algorithm finding ball position on a brio labyrinth board

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Brio-learning

Nowadays, neural networks are very useful and find applications in a lot of fields. While Artificial Intelligence often refer to AlphaGo or chess solving algorithms (for instance Stockfish), it can also be used in less challenging problems.

The Brio-learning project was conducted with the help of DTU Elektro: the lab is equiped with a machine capable of solving a Brio labyrinth in real-time. In this project, thanks to neural networks, we try to locate the ball present in the labyrinth.

Project conducted by Tobias Mouritzen, Vinojan Iruthayam, Avi SZYCHTER.

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Deep learning algorithm finding ball position on a brio labyrinth board


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