An Open Simulation Strategy for Rapid Control Design in Aerial and Maritime Drone Teams: A Comprehensive Tutorial

Velasco, Omar; Valente, João; Blanco, Pablo J.; Abderrahim, Mohamed

doi:10.3390/drones4030037

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…The application of deep reinforcement learning can also lead to the development of intelligent navigation methods that can guide drones to accidents, disasters, and anomaly locations using sensor data [27]. Simulation methods are also being developed for prototyping and rapid testing of control strategies that enable interactions between different units [28]. Industrial drones are also crucial for modern production processes.…”

Section: The Drones and The Swarm Of Dronesmentioning

confidence: 99%

Swarm of Drones in a Simulation Environment—Efficiency and Adaptation

Marek,

Paszkuta,

Szyguła

et al. 2024

Applied Sciences

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In the swiftly advancing field of swarm robotics and unmanned aerial vehicles, precise and effective testing methods are essential. This article explores the crucial role of software-in-the-loop (SITL) simulations in developing, testing, and validating drone swarm control algorithms. Such simulations play a crucial role in reproducing real-world operational scenarios. Additionally, they can (regardless of the type of application) accelerate the development process, reduce operational risks, and ensure the consistent performance of drone swarms. Our study demonstrates that different geometrical arrangements of drone swarms require flexible control strategies. The leader-based control model facilitates coherent movement and enhanced coordination. Addressing various issues such as communication delays and inaccuracies in positioning is essential here. These shortcomings underscore the value of improved approaches to collision avoidance. The research described in this article focused on the dynamics of drone swarms in a simulated context and emphasized their operational efficiency and adaptability in various scenarios. Advanced simulation tools were utilized to analyze the interaction, communication, and adaptability of autonomous units. The presented results indicate that the arrangement of drones significantly affects their coordination and collision avoidance capabilities. They also underscore the importance of control systems that can adapt to various situations. The impact of communication delays and errors in positioning systems on the required distance between drones in a grid structure is also presented. This article assesses the impact of different levels of GPS accuracy and communication delays on the coordination of group movement and collision avoidance capabilities.

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Section: The Drones and The Swarm Of Dronesmentioning

confidence: 99%

Swarm of Drones in a Simulation Environment—Efficiency and Adaptation

Marek,

Paszkuta,

Szyguła

et al. 2024

Applied Sciences

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“…In this subsection various recent works will be analyzed that mainly employ efficient trajectory optimization algorithms towards improving link connectivity under various constraints, such as transmission power and provision of minimum data rate. In [111] an open simulation strategy has been developed with the help of Matlab/Simulink for UAV and USV cooperation and interaction with the environment. Therefore, UAV trajectory can be visualised with the help of a flexible software tool that can be executed in various platforms.…”

Section: A Enhancing Communication Performancementioning

confidence: 99%

A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

Νομικός

Gkonis

Bithas

et al. 2023

IEEE Open J. Commun. Soc.

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Maritime activities represent a major domain of economic growth with several emerging maritime Internet of Things use cases, such as smart ports, autonomous navigation, and ocean monitoring systems. The major enabler for this exciting ecosystem is the provision of broadband, low-delay, and reliable wireless coverage to the ever-increasing number of vessels, buoys, platforms, sensors, and actuators. Towards this end, the integration of unmanned aerial vehicles (UAVs) in maritime communications introduces an aerial dimension to wireless connectivity going above and beyond current deployments, which are mainly relying on shore-based base stations with limited coverage and satellite links with high latency. Considering the potential of UAV-aided wireless communications, this survey presents the state-of-the-art in UAV-aided maritime communications, which, in general, are based on both conventional optimization and machine-learning-aided approaches. More specifically, relevant UAV-based network architectures are discussed together with the role of their building blocks. Then, physical-layer, resource management, and cloud/edge computing and caching UAV-aided solutions in maritime environments are discussed and grouped based on their performance targets. Moreover, as UAVs are characterized by flexible deployment with high re-positioning capabilities, studies on UAV trajectory optimization for maritime applications are thoroughly discussed. In addition, aiming at shedding light on the current status of real-world deployments, experimental studies on UAV-aided maritime communications are presented and implementation details are given. Finally, several important open issues in the area of UAV-aided maritime communications are given, related to the integration of sixth generation (6G) advancements. These future challenges include physical-layer aspects, non-orthogonal multiple access schemes, radical learning paradigms for swarms of UAVs and unmanned surface and underwater vehicles, as well as UAV-aided edge computing and caching.

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Sustainable product design engineering in industry 4.0: Civilian and military drones vis-à-vis digital transformation

Soebandrija,

Jovanko

2023

The 2ND NATIONAL CONFERENCE ON MATHEMATICS EDUCATION (NACOME) 2021: Mathematical Proof as a Tool for Learning Mathematics

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An Open Simulation Strategy for Rapid Control Design in Aerial and Maritime Drone Teams: A Comprehensive Tutorial

Cited by 6 publications

References 26 publications

Swarm of Drones in a Simulation Environment—Efficiency and Adaptation

Swarm of Drones in a Simulation Environment—Efficiency and Adaptation

A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

Sustainable product design engineering in industry 4.0: Civilian and military drones vis-à-vis digital transformation

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