FlightForge: Advancing UAV Research with Procedural Generation of High-Fidelity Simulation and Integrated Autonomy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00385848" target="_blank" >RIV/68407700:21230/25:00385848 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICRA55743.2025.11127704" target="_blank" >https://doi.org/10.1109/ICRA55743.2025.11127704</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICRA55743.2025.11127704" target="_blank" >10.1109/ICRA55743.2025.11127704</a>
Alternative languages
Result language
angličtina
Original language name
FlightForge: Advancing UAV Research with Procedural Generation of High-Fidelity Simulation and Integrated Autonomy
Original language description
Robotic simulators play a crucial role in the development and testing of autonomous systems, particularly in the realm of Uncrewed Aerial Vehicles (UAV). However, existing simulators often lack high-level autonomy, hindering their immediate applicability to complex tasks such as autonomous navigation in unknown environments. This limitation stems from the challenge of integrating realistic physics, photorealistic rendering, and diverse sensor modalities into a single simulation environment. At the same time, the existing photorealistic UAV simulators use mostly hand-crafted environments with limited environment sizes, which prevents the testing of long-range missions. This restricts the usage of existing simulators to only low-level tasks such as control and collision avoidance. To this end, we propose the novel FlightForge UAV opensource simulator. FlightForge offers advanced rendering capabilities, diverse control modalities, and, foremost, procedural generation of environments. Moreover, the simulator is already integrated with a fully autonomous UAV system capable of long-range flights in cluttered unknown environments. The key innovation lies in novel procedural environment generation and seamless integration of high-level autonomy into the simulation environment. Experimental results demonstrate superior sensor rendering capability compared to existing simulators, and also the ability of autonomous navigation in almost infinite environments.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE International Conference on Robotics and Automation (ICRA)
ISBN
979-8-3315-4139-2
ISSN
1050-4729
e-ISSN
1050-4729
Number of pages
7
Pages from-to
1611-1617
Publisher name
IEEE Industrial Electronic Society
Place of publication
Vienna
Event location
Atlanta
Event date
May 19, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001582497400147