AGV trolleys are highly automated, accurate, fast, and flexible, and are widely used in production and manufacturing industries. In practical applications, AGVs are usually used in conjunction with the MES system. With the help of the MES information management platform, AGVs can efficiently, accurately and flexibly complete various logistics handling tasks, making the MES system play a greater role.
1. Production workshop
AGV mobile robots can show their magical powers in the production workshop. After the travel path is set by the staff, the AGV trolley can automatically transport items back and forth, and can complete the transfer of various materials and small equipment efficiently, accurately and flexibly on the production site. Mission, to promote the production efficiency of the workshop, and to ensure the safety of goods delivery.
2. Smart Warehousing
The warehouse is a special place for storing goods. The goods need to be transferred whether they are in or out of the warehouse. In the past, manual transfer, loading and unloading, and handling of goods were relied on. The whole process is labor-intensive and takes a long time. Now, in order to improve the power of goods in and out of storage, improve work efficiency and reduce manual labor, most warehousing industries choose AGV mobile robots to carry goods. Although the AGV car is small in size, it does not affect its strong load-bearing capacity. It does not require manual operation and driving, and can realize the function of an unmanned truck. With the development of the AGV car, it has changed from the most traditional and common magnetic navigation. It has been upgraded to inertial-guided and laser-guided AGV trolleys, which have changed from needing to lay magnetic strip tracks on the ground of the enterprise workshop to be able to operate without laying tracks.

Under the trend of Internet economy and industrial Internetization, the warehousing and logistics industry is ushering in unprecedented development opportunities and new model changes.






