We introduce the Learning-Initialized Trajectory Planner (LIT-Planner), a novel approach that guides optimization using a Neural Network (NN) Planner to provide initial values.
An RRT-based path planning algorithm enables UAVs to replan safe paths when dynamic threats emerge.
A novel multi-UAV mobile edge computing framework, aiming to provide better Quality-of-Service and path planning based on reinforcement learning.