2024
Combining Motion Planner and Deep Reinforcement Learning for UAV Navigation in Unknown Environment
RA-L 2024
Navigation of unmanned aerial vehicles (UAVs) in unknown environments is a challenging problem, and it is worth considering how to reach the target through static obstacles in a safe and energy-efficient manner. The traditional motion planning algorithm is easy to get into trouble when the obstacles