AMR and AGV Difference; The full name of AGV Automated Guided Vehicle. Which refers to a transport vehicle equipped with automatic navigation devices such as electromagnetic or optical. Which can travel along a prescribed navigation path. It has safety protection and various transfer functions. The full name of AMR is Autonomous Mobile Robot, that is, an autonomous mobile robot.
Here are the articles to explain, What is the difference between AMR and AGV?
It is a comprehensive system integrating environmental perception, dynamic decision planning, behavior control, and execution.
AGV and AMR can compare from the following dimensions :
Navigation method
AGV navigation methods include laying guidelines (wires, ribbons, magnetic strips, etc.) on the ground and laying QR codes on the ground. The AGV runs along a fixed path along a magnetic strip or QR code.
AMR navigation methods can divide into laser and visual semantic navigation. Take a representative enterprise of the fourth generation of visual navigation autonomous mobile robots in China as an example. A visual navigation AMR enterprise with large-scale cluster scheduling capabilities.
Deployment complexity
The deployment of AGVs is relatively complex, requiring QR codes or magnetic strips. Which is a heavy workload and easily damaged; the larger the operating area, the more complex the deployment. The deployment of AMR is simpler. Based on the SLAM technology, the robot can draw an environment map around the AMR operating area, and then edit the stops on the intuitive map. Take a fourth-generation mobile robot company in China as an example, a series of products of this company can deploy quickly and without a trace, and can even be “out-of-the-box” in many scenarios.
Human-machine collaboration
Because AMR has the capabilities of depth perception, dynamic path planning, and active obstacle avoidance, compared with AGVs with traditional navigation technology, only AMRs truly have the characteristics of cooperating with people and forklifts. Take a fourth-generation mobile robot company in China as an example. The company’s AMR products have achieved safety in a complex human-machine mixed environment at a large number of customer sites it serves (such as TCL, SF DHL, Dongfeng Passenger Vehicle, etc.). run.
The traditional technology AGV is weak in perception, path, and obstacle avoidance. And is prone to safety risks in the dynamic and complex human-machine collaborative environment. This is the biggest difference between AMR and traditional technology AGV.
Scenario adaptability
AMR is more adaptable to the scene than AGV. In addition to AMR being more adaptable to complex and dynamic human-machine collaborative environments. It is also more flexible for complex business processes.
If there are more points where robots need to stop in the scene, the more complex the landmark traffic routes that need to lay for guiding AGVs, the more difficult it is to achieve; and the fourth-generation visual navigation AMR, which represents domestic companies, is dynamically planned. The route, any point on the map can position. And the route can flexibly adjust according to the changes in the production line. Which is more suitable for complex business processes.
Machine cluster scheduling capability
When the number of machines is large, it involves the problem of cooperative operation between machines, and the guiding AGV is prone to congestion on the guiding line. AMR performs dynamic path planning in any feasible area within the map, solves congestion problems, and improves operational efficiency through real-time traffic control. Scheduling robots in highly dynamic environments such as warehouses and factories is not an easy task, and it requires accurate prediction of the situations that may encounter during AMR operations. Domestic leading companies have applied machine learning technologies such as reinforcement learning to realize the flexible scheduling of robot clusters in highly dynamic scenarios, and have achieved high efficiency and improved customer ROI.
