Research on SLAM Mapping Algorithm Based on Differential Wheel Mobile Robot
In the context of the booming autonomous driving and robotics industry,the importance of high-precision mapping of automotive and robotic environments is becoming increasingly prominent.Differential wheel mobile robots are widely adopted due to their high flexibility and low cost.The core technology of differential wheel mobile robots,SLAM(real-time localization and mapping)algorithm,has become a hot research topic.The mapping quality of differential wheel mobile robot based on Gmapping SLAM and Cartographer SLAM was studied.By using the Gazebo platform to construct a simulated indoor scene in ROS,the performance differences of the two algorithms in different scenarios were evaluated.
differential wheel mobile robotSLAMCartographerGmappingROS
万方数据
维普
