Skip to content

Deep learning algorithm finding ball position on a brio labyrinth board

Notifications You must be signed in to change notification settings

xatavian/brio-learning

Repository files navigation

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.

About

Deep learning algorithm finding ball position on a brio labyrinth board

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published