In this study, we propose an aerial rendezvous method to facilitate the recovery of
unmanned aerial vehicles (UAVs) using carrier aircrafts, which is an important capability for …

Fixed-wing unmanned aerial vehicles (UAVs) will play a vital role in forthcoming military
conflicts. Effectively avoiding threats and improving the survivability of fixed-wing UAV in …

A deep reinforcement learning‐based computational guidance method is presented, which
is used to identify and resolve the problem of collision avoidance for a variable number of …

An algorithm for UAV collision avoidance based on the reinforcement learning is used for
small fixed-wing unmanned aerial vehicles (UAVs). The proposed algorithm realized the …

Unmanned Aerial Vehicles (UAVs) have recently received notable attention because of their
wide range of applications in urban civilian use and in warfare. With air traffic densities …

Under the demand of urban terminal" Last Mile Delivery" scenario, finding a safe and
efficient UAV path planning method is a crucial issue of current research. Nowadays …

Complex 3D obstacle environments raise high requirements of the rapid reaction capability
and safety aiming at the maneuver control for obstacle avoidance (MCOA) of fixed-wing …

Unmanned aerial vehicles (UAVs) are widely used in urban search and rescue, where path
planning plays a critical role. This paper proposes an approach using off-policy …

The increasing number of unmanned aerial vehicles (UAVs) in low-altitude airspace is
seriously threatening the safety of the urban environment. This paper proposes an adaptive …

Unmanned aerial vehicles (UAV) can be controlled in diverse ways. One of the most
common is through artificial intelligence (AI), which comprises different methods, such as …