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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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