Jackal Cartographer Demo¶
This tutorial shows you how to use move_base with Google Cartographer to perform autonomous planning and movement with simultaneous localization and mapping (SLAM), on a simulated Jackal, or a factory-standard Jackal with a laser scanner publishing on the /front/scan topic.
To adapt this demo to your own Jackal, you may need to clone the jackal_cartographer_navigation repository, and modify the relevant parameters. To learn about move_base and the navigation stack, see the Navigation Tutorials. To learn more about Google Cartographer for ROS, see the Cartographer ROS documentation.
To get started with 2-D SLAM using Google Cartographer, clone this repository into your working directory:
git clone http://github.com/jackal/jackal_cartographer_navigation.git
Run the following script to create a workspace and install proto3. This script will also install the packages required to use Cartographer as well as the jackal_desktop, jackal, and jackal_simulator packages:
Open three new terminal/tabs, source the workspace for each terminal/tab:
3.1 Launch the Gazebo simulation with the front_laser config:
roslaunch jackal_gazebo jackal_world.launch config:=front_laser
3.2 Launch RViz to visualize the robot:
roslaunch jackal_viz view_robot.launch config:=gmapping
3.3 Launch the Cartographer node to begin SLAM:
roslaunch jackal_cartographer_navigation cartographer_demo.launch
In the Rviz visualizer, make sure the visualizers in the Navigation group are enabled.
Use the 2D Nav Goal tool in the top toolbar to select a movement goal in the visualizer. Make sure to select an unoccupied (dark grey) or unexplored (light grey) location.
As the robot moves, you should see the grey static map (map topic) grow. There might be discrete jumps in the map as the Cartographer algorithm attempts to localize the robot.
To save the generated map, you can run the map_saver utility:
rosrun map_server map_saver -f <filename>