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Real-Time Appearance-Based Mapping for robot SLAM localization implemented with ROS.

License: GNU General Public License v3.0

CMake 100.00%
ros rtab-map

rtab-map's Introduction

RTAB-Map

Real-Time Appearance-Based Mapping for robot SLAM localization implemented with ROS. Implemented together with acml location and move_base planing.

Final result

After robot has visit all pasible allowed areas in the world, the generated robot rtab-map look like this: the gereated map can be download for here. (!!332MB)

Image shows that 5 closed loops where achieve.(G=5; in down-left side of screen).

Install and Run

Dependenties packages must be installed in your computer, if your using Lubuntu you can install as:

for other installation system please check oficial instructions

For running the code you need to build the project as :

    ./catkin_make
    ./source devel/setup.bash
    ./roslaunch my_robot world.launch

Launch Robot States

By default the robot will be launch with a static map loaded and able to locate itself using this map. Also, by default the robot has path planning activated. to make the robot actually use the RTAB-map capability, you need to run the robot in mapping or location state as:

Mapping

Mapping state makes the robot generate a new map each time the code is run. to launch the robot in a mapping state run the following:

roslaunch my_robot world.launch
roslaunch my_robot mapping.launch

Locations

Location states allows the robot to use the previous generated map to locate itself and move arrond the world. To launch the robot in a location state run the following:

roslaunch my_robot world.launch
roslaunch my_robot location.launch

Packages

used packages:

  1. RTAB-Map ⋅⋅⋅2D Laser sensor_msgs/LaserScan messages ⋅⋅⋅Odometry sensors, providing nav_msgs/Odometry messages ⋅⋅⋅3D Camera, compatible with openni_launch, openni2_launch or freenect_launch ROS packages

Citations

  1. Udacity Robotics Software Engineer Nanodegree Program

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