The following will demonstrate the AMCL navigation operation using rplidar a2 as the scan input and the map file created in Tutorial 14 as the global map.
Install and upgrade
laser_filters package first.
1.1 ssh login Xiaoqiang host and cd to Xiaoqiang's ros workspace
ssh email@example.com -X cd Documents/ros/src/
1.2 Update upgrade package
cd laser_filters git stash git pull cd .. cd nav_test git stash git pull cd .. cd .. catkin_make
1.3 Update the Xiaoqiang hosts file and the hosts file of the local virtual machine so that Xiaoqiang and the local virtual machine can communicate with each other. Refer to sections 1.A and 1.B in Tutorial 13.
First, copy the two map files created in Tutorial 14 to
/home/xiaoqiang/Documents/ros/src/nav_test/maps/, overwrite the files with the same name.
roslaunch nav_test xiaoqiang_a2_demo_amcl.launch
Normally there will be similar results in the figure below, while the lidar starts to rotate
3.1 Start rviz in the local virtual, select the open
nav_test/config/xiaoqiang_amcl.rviz configuration file in the work directory of Xiaoqiang ros
export ROS_MASTER_URI=http://xiaoqiang-desktop:11311 rviz
3.2 After waiting for a few seconds, rviz will normally have a screen similar to the one below.
4.1 In rviz, use 2D Pose Estimation to set the position of the initial pose of the robot in the map. Because the AMCL algorithm needs a more accurate initial value, the actual position of the robot in the map can be further matched by the current liadr scanning dot matrix.
4.2 Using 2D Nav Goal in rviz to release targets to Xiaoqiang
4.3 Xiaoqiang began to move autonomously to the designated location