Cooperative and Decentralized Decision-Making for Loyal Wingman UAVs

Giacomossi, Luiz; Dias, Stiven S.; Brancalion, Jose F. B.; Máximo, Marcos R. O. A.

doi:10.1109/lars/sbr/wre54079.2021.9605468

Cited by 8 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For that, we focus on the artificial intelligence of both types of agents present in the scenario of interest. The development of the decision-making architectures of the agents is based on our previous work [35], where a prototype of the scenario was developed, in order to have an initial decision architecture of the LW and kamikaze agents.…”

Section: B High-level Decision-making Methodologymentioning

confidence: 99%

“…Furthermore, this process is iterative, with the agent performance being evaluated by an expert or through statistics, in order to select the best agent architecture [39]. On the other hand, optimization methods and machine learning techniques may be employed to tune decision parameters [35] or to learn complete behaviors with no prior knowledge [40].…”

Section: B High-level Decision-making Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Cooperative Threat Engagement Using Drone Swarms

et al. 2023

Self Cite

View full text Add to dashboard Cite

The ability of multiple manned and unmanned aircraft systems to cooperatively engage and disable an aerial threat plays a decisive role in modern warfare scenarios. In this paper, we apply key methods to enable the so-called cooperative threat engagement capability among multiple networked agents, e.g., a swarm of drones, with combat and communication capabilities. In particular, this research combines AI-based decision-making and control techniques for a swarm of loyal wingman drones to coordinate efficient defense actions in a cooperative and autonomous manner. We apply these concepts in a defense scenario that is modeled to analyze the loyal wingman concept, which we consider an interesting testbed for cooperative decision-making and low-level control techniques. The investigated methods were implemented in a realistic 3D UAV simulator for demonstration and evaluation. INDEX TERMSCooperative engagement capability, loyal wingman UAV, decision making, manned-unmanned teaming, sliding mode control.

show abstract

Section: B High-level Decision-making Methodologymentioning

confidence: 99%

Section: B High-level Decision-making Methodologymentioning

confidence: 99%

Cooperative Threat Engagement Using Drone Swarms

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…Collaborative Swarms. Collaborative drone swarms, including both aerial and terrestrial unmanned vehicles, can be deployed to search large areas simultaneously [135][136][137][138][139]. These coordinated efforts increase the likelihood of finding missing persons or detecting signs of life in expansive search zones.…”

Section: Search and Rescuementioning

confidence: 99%

A Review on the State of the Art in Copter Drones and Flight Control Systems

Peksa,

Mamchur

2024

Sensors

View full text Add to dashboard Cite

This paper presents an overview on the state of the art in copter drones and their components. It starts by providing an introduction to unmanned aerial vehicles in general, describing their main types, and then shifts its focus mostly to multirotor drones as the most attractive for individual and research use. This paper analyzes various multirotor drone types, their construction, typical areas of implementation, and technology used underneath their construction. Finally, it looks at current challenges and future directions in drone system development, emerging technologies, and future research topics in the area. This paper concludes by highlighting some key challenges that need to be addressed before widespread adoption of drone technologies in everyday life can occur. By summarizing an up-to-date survey on the state of the art in copter drone technology, this paper will provide valuable insights into where this field is heading in terms of progress and innovation.

show abstract

“…The potential inherent in this size reduction is vast and offers numerous advantages. In 2016, PwC published the report "Clarity from Above", revealing that the addressable market value of dronepowered solutions exceeds USD 127 billion, indicating that the drone revolution is causing significant disruptions across a wide range of industries [19]. Figure 4 provides a schematic representation of the estimated value for some key industries.…”

Section: Important Applications Of Uavs In Smart Citiesmentioning

confidence: 99%

A Survey: Future Smart Cities Based on Advance Control of Unmanned Aerial Vehicles (UAVs)

Abbas,

Liu

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

This article presents a survey of unmanned aerial vehicle (UAV) applications in smart cities, emphasizing integration challenges. Smart cities leverage innovative technologies, including the Internet of Things (IoT) and UAVs, to enhance residents’ quality of life. The study highlights UAV applications, challenges, limitations, and future perspectives of smart city development. Advanced control methods for maximizing UAV benefits are discussed. Control theory challenges and issues for the deployment of UAVs are addressed. By concentrating on challenges, potential applications, and advanced control techniques, this paper offers insights into UAVs’ role in shaping the future of smart cities.

show abstract

Cooperative and Decentralized Decision-Making for Loyal Wingman UAVs

Cited by 8 publications

References 8 publications

Cooperative Threat Engagement Using Drone Swarms

Cooperative Threat Engagement Using Drone Swarms

A Review on the State of the Art in Copter Drones and Flight Control Systems

A Survey: Future Smart Cities Based on Advance Control of Unmanned Aerial Vehicles (UAVs)

Contact Info

Product

Resources

About