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This paper applies swarm principles to a network of un-manned aerial vehicles (UAVs) in order to achieve optimal communication between each vehicle and to lower ...
Aug 2, 2023 · Here we use SA sensing and propose an adaptive real-time particle swarm optimization (PSO) strategy for autonomous drone swarms to detect and ...
Resilience is a comprehensive metric that measures the ability of an unmanned aerial vehicle (UAV) swarm to resist and recover after being attacked.
It optimises the coverage of an area by a swarm of UAVs with two objectives: coverage speed and swarm connectivity. This work proposes to extend CCUS to a three ...
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The authors proposed a motion-planning algorithm based on calculating the convex hull of the robots' positions and achieving the optimal formation while ...
The focus of this research is to give unmanned aerial vehicles (UAVs) the ability to self- organize a mesh network that is optimized for area coverage. The.
The goal is to find optimal positions at each instant of each UAV to guarantee the best performance of a given task by minimizing a predefined objective ...
Optimization is achieved through optimum selection of communication links available in the selected communication architecture. The complexity of approach has ...
Jun 8, 2023 · This paper investigates a Machine Learning (ML) approach to address this concern for fleets comprising ten or more swarm vehicles, employing a ...
Optimized Landing of Autonomous Unmanned Aerial Vehicle Swarms. Thomas F ... ery of a swarm of unmanned aerial vehicles (UAVs). The presented work ...