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The smart warehousing system based on “cargo-to-person” is a new type of distribution center warehousing management mode. In the smart warehousing system, items are stored in the movable shelves, and picking workers stand in front of stationary picking platform. Controlled by the computer system, the robot can lift up the assigned shelf and transport it to the closest picking platform. When picking and replenishing tasks are completed, the robot transports the shelf back to its original location. In the warehousing management system based on cargo-to-person, warehouse robots can complete complex works instead of human and the picking efficiency will be improved to some extent (Zou, 2013). However, in the smart warehousing system, more complex tasks need to be completed by the robots. In order to improve the picking efficiency, the multi-robots cooperation is used in the general smart warehousing system. The intelligent warehousing system needs to coordinate multiple robots with multiple tasks at the same time, so the task assignment problem of warehouse robots is one of the key factors affecting the efficiency of warehousing system and needs to be studied deeply. In this paper, according to the orders which will be picked in a period of time, the task assignment problem of robots in a smart warehouse environment

Task Assignment Problem of Robots in a Smart Warehouse Environment