Both AGV and AMR can realize material transportation, but their similarities only stop there. The difference between AMR and AGV is that the former has powerful computing capabilities, and it can sense the surrounding environment through sensors and make corresponding decisions;the latter is just a large actuator, and every move depends on the scheduling of the central control system. The difference in path planning The AGV's in-vehicle intelligence is extremely low and can only obey simple programming instructions. According to the AGV trolley working environment, the path planning model is generally divided into two types: one is the global path planning based on the model, and all the information of the operating environment is known, also known as static or offline path planning. Automatic mobile robot like LiDAR SLAM Double Differential Wheels Automated Mobile Robot  is sensor-based local path planning, where all or part of the operating environment information is unknown, also known as dynamic or online path planning. The difference in application scenarios Among them, the AGV is relatively simple in the implementation of this application. It is limited to following a fixed factory route fixed on the ground. During the entire service life of the AGV, it can only perform the same transportation tasks. If you need to change the route, you need to reset it. LiDAR SLAM Omnidirectional Steering Wheels Autonomous Mobile Robots only needs simple software adjustments to change tasks, and can meet the ever-changing environment, production requirements and task execution priority settings. Once a new task is formulated, employees do not need to spend extra time coordinating robots, but focus more on high value-added work, and the entire application process will be more flexible and flexible. Difference in environmental requirements For the warehouse of bad conditions with serious ground subsidence, unevenness, and even cracks. Such a warehouse can't use AGV at all, but AMR can, because it has good obstacle crossing ability and adaptability.