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How to classify multi joint industrial robots

0 2025-6-28

How to classify multi joint industrial robots? Multi joint industrial robots are complex mechanical devices with multiple rotating or linear joints designed to perform various automation tasks in industrial environments. There are various classification methods, and different types of robots have their own characteristics, suitable for different work scenarios and needs. So, in order to better understand and apply this type of robot, today the editor will introduce the following ways of classification:
1、 According to their structural form, multi joint industrial robots can be divided into Cartesian robots, articulated robots, spherical coordinate robots, and SCARA robots. Among them, articulated robots are the most common type, with a structure similar to human arms, possessing the ability to rotate and bend, and enabling highly flexible operations.
2、 According to their application fields, multi joint industrial robots can be divided into welding robots, palletizing robots, handling robots, assembly robots, etc. For example, welding robots are mainly used for welding various metal materials and have the characteristics of high efficiency, precision, and stability; Assembly robots are widely used in component assembly work in industries such as automobiles, electronics, and toys.
3、 According to the control method, multi joint industrial robots can also be divided into teaching and reproducing robots and intelligent robots. The teaching and reproducing robot requires manual operation by the operator through the teaching box, and the robot will remember and repeat these actions; Intelligent robots have the ability to make autonomous decisions and learn, and can make adaptive adjustments according to changes in the environment.
The above is an introduction to "How to classify multi joint industrial robots". There are various classification methods for multi joint industrial robots, and we can classify them according to different standards. These classifications not only help us better understand and apply these robots, but also bring greater convenience and benefits to industrial production.

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