Nowadays, various innovative air combat paradigms that rely on unmanned aerial vehicles
(UAVs), ie, UAV swarm and UAV-manned aircraft cooperation, have received great attention …

In actual air combat, there is an inevitable risk that an unmanned aerial vehicle (UAV) will be
destroyed. However, this risk is rarely considered in the mission planning phase. In this …

The obstacle avoidance system of a drone affects the quality of its flight path. The artificial
potential field method can react quickly when facing obstacles; however, the traditional …

This paper studies the problem of multiple interceptors with low velocity, weak
maneuverability, and limited overload constraint to cooperatively intercept hypersonic …

飞机蒙皮, 船舶舱体, 高铁车身等大型复杂部件高效高品质制造是航空航天, 海洋舰船,
轨道交通等领域重大装备发展的根基. 大型复杂部件具有尺寸超大, 型面复杂等特点 …

Deep Q-network (DQN) is one of the standard methods to solve the Unmanned Aerial
Vehicle (UAV) path planning problem. However, the way agent deepens its cognition of the …

Unmanned aerial vehicle (UAV) formation has been widely applied in various aspects, both
for military and civil purposes. In this article, multiple UAV formations are deployed to …

When planning the path of a non-urbanized road, the default ant colony optimization (ACO)
algorithm does not consider complex road state function such as uneven surface, road …

In this paper, an optimal control-based method with efficient warm-start is proposed to solve
the trajectory planning problem for fixed-wing unmanned aerial vehicle formations. We first …

In a highly challenging environment, it is difficult to ensure effective information exchange
between UAVs due to disruptions and limitations in communication. Aiming at the problem of …