Challenges and Innovations in Drone and Autonomous Vehicle Simulators and Controllers

Drones, used across various civilian and military sectors, are rapidly proliferating, but their current simulators and controllers lack flexibility and interoperability, hindering innovation-particularly for multi-agent systems and marine or underwater environments. This state-of-the-art review examines existing simulators and controllers to identify their strengths and weaknesses, assessing aspects such as realism, modularity, and hardware compatibility. This issue is even more pronounced in the case of marine drones. Solutions such as AirSim (realistic simulation using Unreal Engine) and UGCS (multi-drone mission management) represent significant progress, yet remain limited in modularity. Open-source SDKs like Dronecode SDK and MAVSDK allow for greater customization but require advanced technical skills. Moreover, user interface ergonomics remains a key challenge for broad adoption. Finally, integrating Green IT principles is becoming essential to reduce the environmental footprint of simulations. To meet growing demands, future software must deliver increased realism, multi-agent compatibility, and intuitive interfaces, ensuring both performance and sustainability.

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Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/oceans58557.2025.11104267
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Challenges and Innovations in Drone and Autonomous Vehicle Simulators and Controllers

Anne-Charlotte Arnold, Henrique Fagundes Gasparoto, Jean-Philippe Brunet, Pedro Juan Soto Vega et al.
Robotic Path Planning Algorithms
article

Challenges and Innovations in Drone and Autonomous Vehicle Simulators and Controllers

Anne-Charlotte Arnold, Henrique Fagundes Gasparoto, Jean-Philippe Brunet, Pedro Juan Soto Vega, Pierre Violante
article en

Abstract

Drones, used across various civilian and military sectors, are rapidly proliferating, but their current simulators and controllers lack flexibility and interoperability, hindering innovation-particularly for multi-agent systems and marine or underwater environments. This state-of-the-art review examines existing simulators and controllers to identify their strengths and weaknesses, assessing aspects such as realism, modularity, and hardware compatibility. This issue is even more pronounced in the case of marine drones. Solutions such as AirSim (realistic simulation using Unreal Engine) and UGCS (multi-drone mission management) represent significant progress, yet remain limited in modularity. Open-source SDKs like Dronecode SDK and MAVSDK allow for greater customization but require advanced technical skills. Moreover, user interface ergonomics remains a key challenge for broad adoption. Finally, integrating Green IT principles is becoming essential to reduce the environmental footprint of simulations. To meet growing demands, future software must deliver increased realism, multi-agent compatibility, and intuitive interfaces, ensuring both performance and sustainability.

Institut Supérieur de l'Électronique et du Numérique (FR), Robotics Research (United States) (US), Centre Hospitalier Régional Universitaire de Brest (FR)
Openalex Percentile: Top 80%
Robotic Path Planning Algorithms
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Challenges and Innovations in Drone and Autonomous Vehicle Simulators and Controllers — Anne-Charlotte Arnold, Henrique Fagundes Gasparoto, et al. · (2025) | TGRS Research Map | TGRS