Survey of Simulators for Aerial Robots: An Overview and In-Depth Systematic Comparisons
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00377164" target="_blank" >RIV/68407700:21230/25:00377164 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/MRA.2024.3433171" target="_blank" >https://doi.org/10.1109/MRA.2024.3433171</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MRA.2024.3433171" target="_blank" >10.1109/MRA.2024.3433171</a>
Alternative languages
Result language
angličtina
Original language name
Survey of Simulators for Aerial Robots: An Overview and In-Depth Systematic Comparisons
Original language description
Uncrewed aerial vehicle (UAV) research faces challenges with safety, scalability, costs, and ecological impact when conducting hardware testing. High-fidelity simulators offer a vital solution by replicating real-world conditions to enable the development and evaluation of novel perception and control algorithms. However, the large number of available simulators poses a significant challenge for researchers to determine which simulator best suits their specific use-case, based on each simulator's limitations and customization readiness. In this article we present an overview of 44 UAV simulators, including in-depth, systematic comparisons for 14 of the simulators. Additionally, we present a set of decision factors for selection of simulators, aiming to enhance the efficiency and safety of research endeavors.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
—
Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE ROBOTICS & AUTOMATION MAGAZINE
ISSN
1070-9932
e-ISSN
1558-223X
Volume of the periodical
32
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
153-166
UT code for WoS article
001308174300001
EID of the result in the Scopus database
2-s2.0-85214328853