Cargo-to-human robot picking system, method and device

Abstract

The invention discloses a cargo-to-human robot sorting system, method and device based on a dynamically assembled movable cargo shelf. The system comprises a fixed cargo shelf which is used for storing cargos through a material box placed on the fixed cargo shelf; a material box forking robot which is used for carrying the corresponding material box between the fixed cargo shelf and the movable cargo shelf according to the material box which needs to be carried and is determined by the system based on the order; a movable cargo shelf which is used for placing the material box forked by the material box forking robot from the fixed cargo shelf; a cargo shelf carrying robot which is used for carrying the assembled movable cargo shelf to each operation area in the warehouse or the movable cargo shelf temporary storage area; a sorting robot which is used for carrying the assembled movable cargo shelf to the position near a sorting station, wherein sorting workers can sort out the corresponding cargo conveniently according to system prompts; and an order sowing wall which is arranged at the sorting station and used for containing order boxes, wherein the order boxes are used for containing the cargo of the corresponding orders sorted out by the sorting workers.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a goods-to-person robot picking system, method and device based on dynamically assembled movable shelves. Background technique [0002] In the prior art, the core elements of the Kiva (Amazon Robotics / Kiva Systems) solution are mobile robots and movable shelves. There are multiple compartments on the movable shelf, which can store different commodities. The mobile robot can carry the movable shelf by lifting the movable shelf. [0003] The core principle of the Kiva solution is to use mobile robots to lift and transport movable shelves to the corresponding picking stations. Because there are multiple compartments on one side of a shelf, and different commodities may be stored in the compartments, the system needs to remind the picker of the commodities and the quantity that should be picked on the corresponding shelf. The picker operates the picking process as figure 1 As s...

AI Technical Summary

Problems solved by technology

These ineffective handling results in fewer items being picked per shelf move, thus requiring more mobile robots to do the handling

In addition, when there are two or more kinds of goods on a movable shelf that need to be picked at different picking stations, the shelf can only be transported to one picking station first and then go to the next picking station in a certain order. This process can lead to waits between different picking stations, resulting in reduced efficiency

[0005] Another drawback of the Kiva solution is that all items in this solution are stored on removable shelves

As a result, robots can only be used to carry movable shelves to the picking station to complete the picking, and there is no way to stop the robot automation process and let the manual complete the picking

The movable shelves are closely arranged, and some inventory surfaces will be blocked by other shelves, and manual picking cannot be done.

Therefore, under such a scheme, if the automation equipment fails or cannot meet the sudden increase in business volume, the system cannot switch to the manual operation mode

[0006] In addition, in the Kiva solution, because the shelves can be moved, high shelves cannot be used, which will reduce storage efficiency, require more space for storage, and increase storage expenses

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