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New paper published: “Solving Routing Problems for Multiple Cooperative Unmanned Aerial Vehicles using Transformer Networks”
Missions involving Unmanned Aerial Vehicles (UAVs) typically require the UAVs to travel to specific regions, perform designated tasks, and return to a predetermined base once all regions have been covered or when the UAVs’ batteries run low. Planning an efficient route is crucial for achieving optimal results, particularly when coordinating a team of UAVs. This […]
Multi-UAV online mission planning
An online mission planning system based on deep reinforcement learning and graph neural networks has been developed, which is capable of managing the routes of a fleet of UAVs in real time and in an optimal way to achieve visiting as many locations as possible with a region-sharing strategy. The cooperation strategy is specially designed […]