With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Abstract: In dynamic environments, optimization algorithms tend to track the changing optima. However, frequent changes to decision solutions often cause high switching costs and system instability.

Abstract: Path planning algorithms have seen widespread application across mobile robotics, robotic manipulators, unmanned aerial vehicles, and other domains. This paper categorizes path planning ...