Naslov
The use of artificial intelligence for flying a drone

Autori
Domitran, Sandro

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, preddiplomski

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
12.07

Godina
2019

Stranica
31

Mentor
Bagić Babac, Marina

Ključne riječi
artificial neural network ; aircraft ; tailsitter ; reinforcement learning ; agent ; algorithm ; reward ; policy ; training ; gradient ; Unity ; MLAgents ; Tensorflow

Sažetak
The topic of this essay is the problematics of autonomous unmanned aircrafts. In the beginning, we described a type of aircraft that is used in implementation, along with its manner of flying. What follows is a brief description of artificial neural networks and reinforced learning, two approaches in artificial intelligence that are key to understanding deep reinforced learning. We also described PPO, a method of deep reinforced learning, chosen for the purpose of teaching our aircraft a desired behavior. In the Unity Editor, we made a model of the aircraft, and with the ML-Agents tool we prepared an environment for learning. We translated our problem into a reward system, which is used to lead the aircraft onto desired behavior. After the learning process is done, the obtained results are displayed graphically.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA