Research on Automation Control of Intelligent Logistics Assistant

This paper investigates an intelligent logistics assistant based on the YOLOv5 algorithm, using a three-wheel structure design with a master control system of STM32F407ZGT6. The task information is displayed through the LCD display, and the system is equipped with an MG996 robotic arm servo to control the clamping of the material while the servo of the material tray realizes the rotation of the material tray. To ensure the stability of the attitude, the system uses HW101 gyroscope for attitude correction, while the laser distance measurement module is responsible for the accurate calibration of the position. openMV vision camera runs the YOLOv5 algorithm to realize the real-time recognition and processing of the environment, and the RFID scanning module is used to obtain and identify the task code. For motion control, Emm _ V5.0closed-loop stepper motors drive three omnidirectional wheels for flexible movement, while a gimbal closed-loop stepper motor is used to regulate the rotation of the robotic arm. The lifting slide rail cooperates with the transmission belt to realize the lifting and lowering transmission of the robotic arm. Through the synergistic work of the above modules, the designed intelligent logistics robot has an efficient automated material handling capability.