jackal_cartographer_navigation repository

Repository Summary

Checkout URI https://github.com/jackal/jackal_cartographer_navigation.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-03-02
Dev Status DEVELOPED
CI status No Continuous Integration
Released RELEASED
Package Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
jackal_cartographer_navigation 0.0.1

README

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.

Instructions

  1. To get started with 2-D SLAM using Google Cartographer, clone this repository into your working directory (e.g. catkin_ws):

    git clone http://github.com/jackal/jackal_cartographer_navigation.git

  2. Install the dependencies in your workspace (e.g. catkin_ws):

    rosdep install --from-paths src --ignore-src --rosdistro=$ROS_DISTRO -y

  3. Build the workspace and open two new terminal/tabs, source the workspace for each terminal/tab:

    source devel/setup.bash

  - Launch the Gazebo simulation with the *front_laser* config:

    `roslaunch jackal_gazebo jackal_world.launch config:=front_laser`

  - Launch the Cartographer node to begin SLAM:

    `roslaunch jackal_cartographer_navigation cartographer_demo.launch`

  - Launch Rviz:
    `roslaunch jackal_viz view_robot.launch`
  1. In the Rviz visualizer, make sure the visualizers in the Navigation group are enabled.

  2. 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.

  3. 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.

Jackal Racetrack Map

  1. To save the generated map, you can run the map_saver utility:

    rosrun map_server map_saver -f <filename>

Tuning Cartographer

To tune Cartographer for low latency SLAM, edit the jackal.lua configuration file found in the jackal_cartographer_navigation/config directory.

For more information on tuning, click here

CONTRIBUTING

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