Detail of the student project

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Topic:Porovnani neuronovych siti a algoritmu optimalniho rizeni pro stabilizace drony
Department:Katedra kybernetiky
Supervisor:Ing. Teymur Azayev
Announce as:Diplomová práce, Semestrální projekt
Description:The goal of the project is to compare the performance of a neural network stabilization policy which was learned in a simulator to several optimal control algorithms such as LQR and MPC. The performance will be tested on a real quadcopter, with a RP4 on board and is ready to fly. The simulation environment is written in Pybullet.
Responsible person: Petr Pošík