Autonomous Coverage with UAV Swarms using Optimal Task Assignment
DOI:
https://doi.org/10.17979/ja-cea.2025.46.12090Keywords:
Multi-agent systems, Coordination of multiple vehicle systems, Task allocation-sharing and job design, Aerial robotics, Autonomous vehiclesAbstract
This work presents a cooperative perception-planning-navigation system that enables swarms of unmanned aerial vehicles (UAVs) to autonomously cover a set of target positions represented by visual markers. The perception system fuses distributed observations to more accurately estimate the location of each task, while the planner solves a linear programming problem to obtain the optimal UAV-task assignment. Finally, a multi-vehicle off-board control module generates the trajectories and executes the arming, takeoff, tracking, and landing operations. Experimental validation was carried out in a Software-In-The-Loop (SITL) simulation using PX4 and Gazebo. The results confirm that UAV cooperation significantly improves the efficiency and robustness of aerial coverage missions.
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Copyright (c) 2025 Manuel Domínguez-Montero, Víctor Rivera, Raul Tapia, José Ramiro Martínez-de Dios, Anibal Ollero

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