This consist of a ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs an Map of the explored environment. Finally a pathplanning algorithm from Navugation stack is used in the newly generated map to reach the goal.The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for the Autonomously exploring the region and constructing the map with help of the 360 degree Lidar sensor. Different environments can be swapped within launch files to generate the map of the environment. The current most efficient algorithm used for autonomous exploration is Rapidly Exploring Random Tree (RRT) algorithm . The RRT Algorithm is implemented using the package from rrt_exploration which was created to support the Kobuki robots which I further modified the source files and built it for the Turtlebot3 robots in this package.
You can see the Towards Data Science Story of this Project
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As this repository is to be updated with more bug free codes as I get requests, please keep reporting the issues and following my updates
Set your environment variable to the model robot to be used.
export TURTLEBOT3_MODEL=waffle_pi
source ~/.bashrc
Execute the given launch to open Gazebo with the given world file and place the robot Turtlebot3 Waffle pi model in it.
roslaunch ros_autonomous_slam turtlebot3_world.launch
Keep this process running always and execute other commands in a different terminal.
roslaunch ros_autonomous_slam autonomous_explorer.launch
Run the Autonomous Explorer launch file which executes two tasks for us at the same time.
explorer
argument to the launch which takes [RRT,BUG_WALLFOLLOW]
.
The RRT exploration requires a rectangular region around to be defined in the RVIZ window using four points and an starting point for exploration within the known region of the robot. The total five points must be defined in the exact sequence given below using the RVIZ Publish Points option. Source
Monitor the Mapping process in RVIZ window and sit back and relax unitll our robot finishes mapping XD .
Once you are satisfied with the constructed map, Save the map.
rosrun map_server map_saver -f my_map
The my_map.pgm and my_map.yaml gets saved in your worspace directory. Move these to files to the package's maps folder (catkin_ws\src\ros_autonomous_slam\maps).Now your new map which is basically a occupancy grid is constructed !
Incase of Autonomous Fail you can manually controll the robot in the environment using the key board with the seperate launch execution given below. You can also manually explore and construct the map like a game.
roslaunch turtlebot3_teleop turtlebot3_teleop_key.launch
We will be using the Navigation stack of the ROS to perform the pathplanning and go to goal using /movebase/goal actions. The given blow launch execution opens up a RVIZ window which shows the Robot location within the previously constructed map.
roslaunch ros_autonomous_slam turtlebot3_navigation.launch
The RVIZ Window shows the robot's local map construction using its Laser sensors with respect to the Global Map previously constructed in Step 2 with help of a cost map.
ROS Navigation Stack requires tuning its parameters which works different for different environment types to get the Optimal SLAM and Pathplanning performance.Here is ROS's Navigation Stack parameter tuning guide for Turtlebot3.
Turtlebot3 Navigation Parameter Tuning Guide
I used Ubuntu 18 OS with ros Melodic Version. Check the ROS official documentation for the Installation ROS Installation
The main Gazebo Simulator which is an stand alone application must be installed. Go through the documentation Gazebo Installation. Test the working of Gazebo and its version with
gazebo
which gzserver
which gzclient
After Installing the Gazebo, the Gazebo ROS Package must be installed seperately
sudo apt-get install ros-melodic-gazebo-ros-pkgs ros-melodic-gazebo-ros-control
Replace melodic
with your version of ROS everwhere in this tutorial.
The Turtlebot3 ROS packages can be either downloaded and built from source files in your workspace or else directly installed from the linux terminal. Either way works, I would recommend doing both as it installs all the missing dependencies required automatically.
source /opt/ros/melodic/setup.bash
sudo apt-get install ros-melodic-turtlebot3-msgs
sudo apt-get install ros-melodic-turtlebot3
Building the packages
cd catkin_ws/src
git clone -b melodic-devel https://github.com/ROBOTIS-GIT/turtlebot3
git clone -b melodic-devel https://github.com/ROBOTIS-GIT/turtlebot3_simulations
cd ..
catkin_make
source /devel/setup.bash
The Navigation stack can also be downloaded as souce files to your workspace and built.
sudo apt-get install ros-melodic-navigation
cd catkin_ws/src
git clone -b melodic-devel https://github.com/ros-planning/navigation
cd ..
catkin_make
source /devel/setup.bash