Logistics robot AGV image recognition and its navigation method
DANBACH ROBOT

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Nowadays, AGV robots are used more and more in all aspects of our life. For example, using logistics robots in logistics, logistics robots use image recognition in their driving environment to achieve smarter intelligent driving. It is a navigation technology with great potential.

Combined with image recognition technology and laser navigation technology, this will provide unexpected possibilities for AGV engineering, such as navigation accuracy and reliability, driving safety, and intelligent recognition.

First, logistics robot GPS navigation

This is a control system that uses satellites to have no fixed objects as a route. This will track and guide the logistics robots in the central control system. Now this is still developing and improving, and is generally used for outdoor long-distance tracking and Guidance, the accuracy depends on the accuracy and quantity of satellites fixed in the air, resulting in GPS such as IGPS (indoor) and DGPS (outdoor).

Second, reliability

There are many foreign AGV companies, among which the navigation technology used in their products is based on statistics, electromagnetic induction accounts for 32.3%, inertial navigation 27.8%, optical detection 16.9%, position setting 13.8%, laser detection 7.69%, image recognition 1.54%, Among them, the proportion of electromagnetic induction technology is the most, which indicates that the electromagnetic induction technology is relatively mature, and the application of image recognition technology is the least, indicating that this technology needs further research and continuous improvement.

Third, the adaptability of logistics robot navigation

The adaptability here refers to the logistics robot AGV, the degree of ground cleanliness and the degree of space barrier, the degree of photoelectric interference, etc., which will affect the navigation.

Different navigation technologies have different requirements for the application environment. Therefore, some navigation methods have more restrictions. For some line navigation technologies, such as embedding, optical navigation, etc., these are flat and clean for the environment. The higher the degree, in addition to the buried wire electromagnetic induction to the ground cleaning requirements are relatively low, the other several ways to the ground requirements are relatively high.

Fourth, the softness of the path

The softness of the path is the logistics robot AGV, but the different guiding technologies have a relatively large difference in path flexibility. The wireless guidance can change the running path in a short time. Some methods only need to change the control software to realize the running route. The path flexibility of the wired guidance method is relatively poor, and the electromagnetic induction buried guiding technology guiding path is the most difficult and costly.

The above points are the AGV image recognition and navigation methods of logistics robots. We hope to help the logistics companies and manufacturers. Different navigation methods have their own advantages and disadvantages. Enterprises can choose the correct navigation method according to their own needs.

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