Design of Library Automatic Navigation Intelligent Vehicle System Based on ROS

This article introduces a library automatic navigation intelligent vehicle system based on ROS. The system aims to improve the management efficiency of the library and optimize the service experience for readers. The smart car uses LiDAR for environmental scanning and map construction, and achieves autonomous path planning and navigation through SLAM technology. The smart car is equipped with a robotic arm and ca7era, which can recognize and grab books, and automatically navigate to the user's location. The system uses Nvidia JETSON Orin Nano as the upper computer and STM32F407 as the lower computer, and utilizes ROS functional packages such as Gmapping and Move_base for map building, positioning, and path planning. In addition, the system also provides remote control and voice control interfaces, and incorporates safety measures to ensure the safety and reliability of the smart car during navigation.