You're reading the documentation for a development version. For the latest released version, please have a look at Jazzy.
Introducing tf2
Goal: Run a turtlesim demo and see some of the power of tf2 in a multi-robot example using turtlesim.
Tutorial level: Intermediate
Time: 10 minutes
Installing the demo
Let’s start by installing the demo package and its dependencies.
sudo apt-get install ros-rolling-rviz2 ros-rolling-turtle-tf2-py ros-rolling-tf2-ros ros-rolling-tf2-tools ros-rolling-turtlesim
sudo dnf install ros-rolling-rviz2 ros-rolling-turtle-tf2-py ros-rolling-tf2-ros ros-rolling-tf2-tools ros-rolling-turtlesim
git clone https://github.com/ros/geometry_tutorials.git -b ros2
Running the demo
Now that we’ve installed the turtle_tf2_py
tutorial package let’s run the demo.
First, open a new terminal and source your ROS 2 installation so that ros2
commands will work.
Then run the following command:
ros2 launch turtle_tf2_py turtle_tf2_demo.launch.py
You will see the turtlesim start with two turtles.
In the second terminal window type the following command:
ros2 run turtlesim turtle_teleop_key
Once the turtlesim is started you can drive the central turtle around in the turtlesim using the keyboard arrow keys, select the second terminal window so that your keystrokes will be captured to drive the turtle.
You can see that one turtle continuously moves to follow the turtle you are driving around.
What is happening?
This demo is using the tf2 library to create three coordinate frames: a world
frame, a turtle1
frame, and a turtle2
frame.
This tutorial uses a tf2 broadcaster to publish the turtle coordinate frames and a tf2 listener to compute the difference in the turtle frames and move one turtle to follow the other.
tf2 tools
Now let’s look at how tf2 is being used to create this demo.
We can use tf2_tools
to look at what tf2 is doing behind the scenes.
1 Using view_frames
view_frames
creates a diagram of the frames being broadcast by tf2 over ROS.
Note that this utility only works on Linux; if you are Windows, skip to “Using tf2_echo” below.
ros2 run tf2_tools view_frames
You will see:
Listening to tf data during 5 seconds...
Generating graph in frames.pdf file...
Here a tf2 listener is listening to the frames that are being broadcast over ROS and drawing a tree of how the frames are connected.
To view the tree, open the resulting frames.pdf
with your favorite PDF viewer.
Here we can see three frames that are broadcast by tf2: world
, turtle1
, and turtle2
.
The world
frame is the parent of the turtle1
and turtle2
frames.
view_frames
also reports some diagnostic information about when the oldest and most
recent frame transforms were received and how fast the tf2 frame is published to tf2 for debugging purposes.
2 Using tf2_echo
tf2_echo
reports the transform between any two frames broadcast over ROS.
Usage:
ros2 run tf2_ros tf2_echo [source_frame] [target_frame]
Let’s look at the transform of the turtle2
frame with respect to turtle1
frame which is equivalent to:
ros2 run tf2_ros tf2_echo turtle2 turtle1
You will see the transform displayed as the tf2_echo
listener receives the frames broadcast over ROS 2.
At time 1683385337.850619099
- Translation: [2.157, 0.901, 0.000]
- Rotation: in Quaternion [0.000, 0.000, 0.172, 0.985]
- Rotation: in RPY (radian) [0.000, -0.000, 0.345]
- Rotation: in RPY (degree) [0.000, -0.000, 19.760]
- Matrix:
0.941 -0.338 0.000 2.157
0.338 0.941 0.000 0.901
0.000 0.000 1.000 0.000
0.000 0.000 0.000 1.000
At time 1683385338.841997774
- Translation: [1.256, 0.216, 0.000]
- Rotation: in Quaternion [0.000, 0.000, -0.016, 1.000]
- Rotation: in RPY (radian) [0.000, 0.000, -0.032]
- Rotation: in RPY (degree) [0.000, 0.000, -1.839]
- Matrix:
0.999 0.032 0.000 1.256
-0.032 0.999 -0.000 0.216
-0.000 0.000 1.000 0.000
0.000 0.000 0.000 1.000
As you drive your turtle around you will see the transform change as the two turtles move relative to each other.
rviz2 and tf2
rviz2
is a visualization tool that is useful for examining tf2 frames.
Let’s look at our turtle frames using rviz2
by starting it with a configuration file using the -d
option:
ros2 run rviz2 rviz2 -d $(ros2 pkg prefix --share turtle_tf2_py)/rviz/turtle_rviz.rviz
for /f "usebackq tokens=*" %a in (`ros2 pkg prefix --share turtle_tf2_py`) do rviz2 -d %a/rviz/turtle_rviz.rviz
In the side bar you will see the frames broadcast by tf2. As you drive the turtle around you will see the frames move in rviz.