Vision-based collaborative robot logistics sorting system and using method thereof

Abstract

The invention discloses a vision-based collaborative robot logistics sorting system. The vision-based collaborative robot logistics sorting system comprises a logistics conveying line, subpackaging boxes, a three-freedom-degree vision detection device, collaborative robots and a control system, wherein the vision detection device is cooperatively and movably mounted above the logistics conveying line and is used for self-adaptively collaborating and identifying positions and information of conveyed parts on the logistics conveying line as well as identifying positions of clamping ends of the collaborative robots. The invention also discloses a using method of the vision-based collaborative robot logistics sorting system. Through the vision-based collaborative robot logistics sorting system, the error rate of equipment is reduced; the efficiency is improved; the labor of workers is alleviated; the logistics sorting task load is met; the system sorting quality can be ensured by means ofa vision system, so that automatic and intelligent production can be achieved; the safety of the workers can be further guaranteed; the labor intensity is alleviated; the working efficiency is improved; and the requirement on continuous development of the logistics industry technology in the future can be met.

Description

technical field [0001] The invention relates to the field of logistics intelligent sorting equipment, more specifically, a vision-based collaborative robot logistics sorting system and a method for using the same. Background technique [0002] Enterprises in the logistics industry need a lot of manual work, and urgently need the introduction of intelligent robots and automation equipment to improve the production efficiency and quality of factories and reduce labor costs for enterprises. However, the traditional method basically relies on manual sorting, which is labor-intensive and error-prone. Traditional industrial robots are highly dependent on the teaching and programming of professional skilled personnel, and most of them can only perform simple and repetitive tasks in a structured environment. It lacks flexibility and quick adaptability, and has certain dangers, requiring isolation operations. At the same time, for traditional visual inspection devices, the general c...

AI Technical Summary

Problems solved by technology

However, the traditional method basically relies on manual sorting, which is labor-intensive and error-prone. Traditional industrial robots are highly dependent on the teaching and programming of professional skilled personnel, and most of them can only perform simple and repetitive tasks in a structured environment. Lack of flexibility and quick adaptability, and has a certain degree of danger, requiring isolation work

At the same time, for traditional visual inspection devices, the general camera position is fixed and lacks flexibility. When the situation changes greatly, especially the size and delivery location of the logistics items are uncertain and highly variable, so the traditional equipment The visual detection device cannot be adjusted and calibrated accordingly, which is not conducive to preparing and identifying the logistics item, reducing its recognition rate and recognition efficiency

[0003] On the other hand, under normal circumstances, an industrial robot can move to the correct position, but it may also be affected by errors or disturbances in the following situations, increasing the judgment process. First, there is a certain degree of visual position judgment Accuracy. There is a certain error in the initial given position. When the error is relatively large, the robot cannot complete the gripping at this time.

The second is that due to the repeated work of the robot, the aging or wear of the components, or the movement of the base position of the robot when it is disturbed, at this time it moves to a given position, the error is large, and the success rate of grasping is reduced.

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