A review of research about automatic navigation system of mobile robots based on ROS

With the rapid development of technology, robotic technology is continuously updated and iterated. In this process, mobile robots are gradually entering different fields and playing important roles in people's daily lives. In this context, research on path planning for mobile robots has become a priority in order to meet the various tasks that mobile robots need to handle in different situations. This paper proposes a ROS-based mobile robot autonomous navigation system, which uses the gampping algorithm to implement SLAM technology for building environment maps. It addresses the accuracy issues found in traditional map construction methods and improves localization accuracy by combining IMU with laser odometry. The paper focuses on the problem of path planning for mobile robots and mainly compares and analyzes the advantages and disadvantages of the A* algorithm and Dijkstra algorithm in path planning algorithms, aiming to find a more suitable path planning algorithm. This paper provides support for the development of the modern mobile robot field.