The Fleet management adopts a variety of AI intelligent scheduling algorithms to achieve optimal allocation of intelligent robots' work tasks, multi-robot path planning robot traffic management, etc., to realize that robots work with robots, robots work with automation equipment, clusters of intelligent robots work with each other, and intelligent robots work with human beings, to provide high-efficiency power for the application of robots, and for the smart factories, intelligent manufacturing and smart cities.