With the arrival of the digital era, the logistics industry pressure surge, the traditional logistics industry, high cost, low efficiency has been unable to meet the needs of modern logistics. There is an urgent need for intelligent logistics equipment to improve the efficiency of express operation. Automated Guided Vehicles (Automated Guided Vehicles, AGV) as one of the key equipments in the intelligent logistics system, plays an important role in reducing cost and improving efficiency. In this paper, this paper design a sorting system based on AGV path planning, adopting algorithms such as sliding filter, Kalman filter, breadth-first (BFS) search method, etc., and obtaining its own state through encoding motors, gyroscopes, ultrasonic arrays and feeding back to the upper computer ROS system, which obtains images to recognize the express delivery information through the camera, confirms its own position through machine vision and multi-sensor fusion, and makes automatic Navigation trolley AGV path planning to achieve automatic identification of courier information, automatic classification and transportation to the target location, and automatic return to the starting point. Through testing, it is proved that this design can complete the recognition of the target QR code and AGV path planning within the range of 1 meter.