The use of automated production lines for mass production in enterprises can improve labor productivity, stabilize and improve product quality, improve working conditions, reduce production floor space, reduce production costs, shorten production cycle, and ensure production balance, which has significant economic benefits.

The definition of collaboration is more widely used in industrial scenarios. The cooperative mobile palletizing robot has replaced and improved the existing industrial robots, and has become the leading technology genre in the robot field with its higher safety factor, reliability and human coordination ability.

Because manual handling and palletizing cannot meet the needs of industrial production, the R&D and production of full-automatic and full-automatic handling and palletizing machines continue to accelerate. The structure of the fully automatic handling and palletizing machine is mainly composed of the power distribution cabinet, the main stacking behavior, the bag shaping and beautification, the bag body transmission, the pallet collection, the filling, handling and palletizing.

The important role of cooperative palletizing robot is to reduce the cost of manual logistics and facilitate the grabbing, handling and placing of goods. People often find them in various express collection points, factories and other industrial scenes. In recent years, with the cooperative mobile palletizing robot system becoming more efficient, fast and accurate software, cooperative mobile palletizing robot has been gradually applied in many companies.

In our daily life, we often see or use palletizing robots. Just like when we go to the supermarket, many goods have to be put in high places. Some are manual and some are automatic. If manual operation is used, it is generally used in some small supermarkets, large malls, etc. However, in some large shopping malls or warehouses, it is not realistic to change the labor force. At this time, we need to set some programs to let the palletizing robot put in a specific position according to the set program.

This is the well-known "Turing test" in the field of artificial intelligence. Turing predicted that computers would pass this test at the end of the 20th century. In fact, it was not until 2014 that the artificial intelligence software Eugene Gustmann passed the Turing test for the first time.

With the rapid development and optimization of automatic machines, palletizing robots are gradually applied.

The gripper of cooperative palletizing robot, also known as end effector, clamp and mechanical gripper, is an important part of the palletizing robot. The design of robot intelligent gripper generally uses image system to identify the size of the workpiece, and servo motor to adjust the spacing of the clamping plates.