We introduce NEO-Planner, which uses a neural network to initialize trajectory optimization for autonomous drones, cutting computation by 26% without sacrificing quality.
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.
