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With the rapid development of technology, the Unmanned Aerial Vehicle (UAVs) are used in various fields, the most common of which are economic material transportation, military surveying, and data mapping in engineering. The powerful aircraft can ensure better power and load capacity, and the flight control system and high-precision navigation system of the UAV have accurate control algorithms and real-time monitoring capabilities of aircraft parameters. Firstly, before takeoff, safety checks including battery charging and equipment debugging will be carried out. After that, flight path planning and target location selection will be carried out according to the requirements of the delivery mission. After the successful delivery of the logistics drone, the delivery data will be reported in real time and automatic return. However, logistics drones also have some technical problems to be overcome, such as short battery life, low perception and obstacle avoidance. However, these problems can be solved by changing the fuselage material, improving the glide ability of the UAV, optimizing the fuselage impact point, and improving the HPSO algorithm framework. The promotion and application of logistics drones can effectively reduce part of the labor and labor costs, and at the same time, make the entire transportation work automated.
Cheng et al. (Mon,) studied this question.