This chapter shows some demos using Turtlebot3. In order to implement these demos, you have to install the turtlebot3_applications package.
Turtlebot3 has been tested on
Ubuntu 16.04 and
ROS Kinetic Kame.
The terminal application can be found with the Ubuntu search icon on the top left corner of the screen. Shortcut key for terminal is Ctrl-Alt-T.
Remote PC] Go to ROS source directory (/home/<user_name>/catkin_ws/src) and clone the turtlebot3_applications repository.
cd ~/catkin_ws/src git clone https://github.com/ROBOTIS-GIT/turtlebot3_applications.git
Remote PC] catkin_make to install the new package.
cd ~/catkin_ws && catkin_make
15.1. TurtleBot Follower Demo¶
The follower demo was implemented only using HLS-LFCD LDS. a classification algorithm is used based on previous fitting with samples of person and obstacles positions to take actions. It follows someone in front of the robot within a 50 centimeter range and 140 degrees.
Running the follower demo in an area with obstacles may not work well. Therefore, it is recommended to run the demo in an open area without obstacles.
TurtleBot] In order to run the demo, parameter in LIDAR launch file has to be modified. In the below example, Pluma is used to edit the launch file. In the param tag with frame_id as a name, replace base_scan to odom and save the file as shown in the below images.
Turtlebot Follower Demo requires scikit-learn, NumPy and ScyPy packages.
Remote PC] Install scikit-learn, NumPy and ScyPy packages with below commands.
sudo apt-get install python-pip sudo pip install -U scikit-learn numpy scipy sudo pip install --upgrade pip
Remote PC] When installation is completed, run roscore on the remote pc with below command.
TurtleBot] Launch the Turtlebot3_bringup
roslaunch turtlebot3_bringup turtlebot3_robot.launch
Remote PC] Move to turtlebot3_follower source directory
Remote PC] Launch turtlebot3_follow_filter with below command.
roslaunch turtlebot3_follow_filter turtlebot3_follow_filter.launch
Remote PC] Launch turtlebot3_follower with below command.
rosrun turtlebot3_follower follower.py
15.2. TurtleBot Panorama Demo Using Raspberry Pi Camera Module¶
The turtlebot3_panorama demo uses pano_ros for taking snapshots and stitching them together to create panoramic image.
Panorama demo requires to install Raspicam package. Instructions for installing this package can be found at https://github.com/UbiquityRobotics/raspicam_node
Panorama demo requires to install OpenCV and cvbridge packages. Instructions for installing OpenCV can be found at http://docs.opencv.org/2.4/doc/tutorials/introduction/linux_install/linux_install.html
TurtleBot] Launch the Raspberry Pi cam V2
roslaunch raspicam_node camerav2_1280x960.launch
Remote PC] Launch Panorama with below command.
roslaunch turtlebot3_panorama panorama.launch
Remote PC] To start the panorama demo, please enter below command.
rosservice call turtlebot3_panorama/take_pano 0 360.0 30.0 0.3
Parameters that can be sent to the rosservice to get a panoramic image are:
- mode for taking the pictures.
- 0 : snap&rotate (i.e. rotate, stop, snapshot, rotate, stop, snapshot, ...) 1 : continuous (i.e. keep rotating while taking snapshots) 2 : stop taking pictures and create panoramic image
- total angle of panoramic image, in degrees
- angle interval (in degrees) when creating the panoramic image in snap&rotate mode, time interval (in seconds) otherwise
- rotating velocity (in radians/s)
Remote PC] To view the result image, please enter below command.
15.3. Automatic Docking¶