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Simulation of a differential drive robot which can perform autonomous navigation.

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Simultaneous Localization and Mapping

Simulation of a differential drive robot which can perform autonomous navigation.

Prerequisites

Getting Started

  1. Clone this repository.
  2. Run catkin_make.
  3. Run source slam_ws/devel/setup.bash.

Mapping

  • Run roslaunch slamBot_gazebo slamBot_test_world.launch to launch the world in gazebo
  • In a separate terminal run roslaunch slamBot_navigation slamBot_slam.launch slam_methods:=gmapping to start building the map. This also launches rviz.
  • In a separate terminal run roslaunch turtlebot3_teleop turtlebot3_teleop_key.launch to start the teleoperation of the robot
  • Move the robot around steadly to generate a map.
  • In a separate terminal run rosrun map_server map_saver -f /tmp/test_map to save the map in a yaml file.

Mapping the environment using gmapping

Localization

  • Launch the gazebo world by running roslaunch slamBot_gazebo slamBot_test_world.launch
  • In a separate terminal run roslaunch slamBot_navigation slamBot_navigation.launch map_file:=/tmp/test_map.yaml, to start navigation in the map
  • In rviz, estimate initial pose by 2D Pose Estimate
  • In a separate terminal run roslaunch turtlebot3_teleop turtlebot3_teleop_key.launch to start the teleoperation of the robot. You'll see that the estimate of robot's pose will coverge pretty quickly.

Localization in the environment using amcl

References

This work was done taking reference from here

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