Naslov
A Machine Learning Approach to Flight Control of a VTOL Tailsitter UAV

Autori
Domitran, Sandro ; Bagić Babac, Marina

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
The 44th International ICT Convention – MIPRO 2021 / Skala, K. - Zagreb : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021, 1996-2001

Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021)

Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
unmanned aerial vehicle ; UAV flight control ; machine learning ; reinforcement learning

Sažetak
Unmanned aerial vehicles, commonly known as drones, are used for many different purposes. However, it is still a challenging task to fly a drone, which limits its potential for doing more useful things. The goal of this paper is to explain how to fly a drone using a machine learning approach, which should make its flight more accurate, efficient and stable. In this paper, we propose an artificial-intelligence-based flight control of unmanned aerial vehicles in a realistic simulated environment. In addition, the drone can learn to perform a certain task to elaborate the benefits of this approach.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA