Repository Summary
Checkout URI | https://github.com/ignitionrobotics/ign_ros2_control.git |
VCS Type | git |
VCS Version | galactic |
Last Updated | 2022-11-25 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
ign_ros2_control | 0.4.2 |
ign_ros2_control_demos | 0.4.2 |
README
ign_ros2_control
ROS2 Distro | Build Status | Package build |
---|---|---|
This is a ROS 2 package for integrating the ros2_control
controller architecture with the Ignition Gazebo simulator.
More information about ros2_control
can be found here: https://control.ros.org/
This package provides an Ignition Gazebo system plugin which instantiates a ros2_control
controller manager and connects it to a Gazebo model.
ROS version | Ignition version | Branch | Binaries hosted at |
---|---|---|---|
Foxy | Citadel | foxy | https://packages.ros.org |
Foxy | Edifice | foxy | only from source |
Galactic | Edifice | galactic | https://packages.ros.org |
Galactic | Fortress | galactic | only from source |
Humble | Fortress | ros2 | https://packages.ros.org |
Rolling | Edifice | ros2 | only from source |
Rolling | Fortress | ros2 | https://packages.ros.org |
Rolling | Garden (not released) | ros2 | only from source |
Compile from source
If you want compile this from source, you should choose the Ignition version. The default one is citadel
:
export IGNITION_VERSION=citadel
export IGNITION_VERSION=edifice
export IGNITION_VERSION=fortress
Then create a workspace, clone the repo and compile it:
mkdir -p ~/ros_ign/src
cd ~/ros_ign/src
git clone https://github.com/ignitionrobotics/ign_ros2_control
rosdep install -r --from-paths . --ignore-src --rosdistro $ROS_DISTRO -y
cd ~/ros2_ign
colcon build
Usage
Video + Pictures
Running
Modifying or building your own
cd Dockerfile
docker build -t ign_ros2_control .
To run the demo
Using Docker
Docker allows us to run the demo without the GUI if configured properly. The following command runs the demo without the GUI:
docker run -it --rm --name ignition_ros2_control_demo --net host ign_ros2_control ros2 launch ign_ros2_control_demos cart_example_position.launch.py gui:=false
Then on your local machine, you can run the Gazebo client:
ign gazebo -g
Using Rocker
To run the demo with the GUI, we are going to use rocker, which is a tool to run docker images with customized local support injected for things like nvidia support. Rocker also supports user id specific files for cleaner mounting file permissions. You can install this tool with the following instructions (make sure you meet all of the prerequisites).
The following command will launch Ignition:
rocker --x11 --nvidia --name ignition_ros2_control_demo ign_ros2_control:latest
The following commands allow the cart to be moved along the rail:
docker exec -it ignition_ros2_control_demo bash
source /home/ros2_ws/install/setup.bash
ros2 run ign_ros2_control_demos example_position
Add ros2_control tag to a URDF
To use ros2_control
with your robot, you need to add some additional elements to your URDF.
You should include the tag <ros2_control>
to access and control the robot interfaces. We should
include:
- a specific
<plugin>
for our robot -
<joint>
tag including the robot controllers: commands and states.
<ros2_control name="IgnitionSystem" type="system">
<hardware>
<plugin>ign_ros2_control/IgnitionSystem</plugin>
</hardware>
<joint name="slider_to_cart">
<command_interface name="effort">
<param name="min">-1000</param>
<param name="max">1000</param>
</command_interface>
<state_interface name="position"/>
<state_interface name="velocity"/>
<state_interface name="effort"/>
</joint>
</ros2_control>
Add the ign_ros2_control plugin
In addition to the ros2_control
tags, a Gazebo plugin needs to be added to your URDF that
actually parses the ros2_control
tags and loads the appropriate hardware interfaces and
controller manager. By default the ign_ros2_control
plugin is very simple, though it is also
extensible via an additional plugin architecture to allow power users to create their own custom
robot hardware interfaces between ros2_control
and Gazebo.
<gazebo>
<plugin filename="libign_ros2_control-system.so" name="ign_ros2_control">
<robot_param>robot_description</robot_param>
<robot_param_node>robot_state_publisher</robot_param_node>
<parameters>$(find ign_ros2_control_demos)/config/cartpole_controller.yaml</parameters>
</plugin>
</gazebo>
The ign_ros2_control
<plugin>
tag also has the following optional child elements:
-
<parameters>
: YAML file with the configuration of the controllers
Default ign_ros2_control Behavior
By default, without a <plugin>
tag, ign_ros2_control
will attempt to get all of the information it needs to interface with a ros2_control-based controller out of the URDF. This is sufficient for most cases, and good for at least getting started.
The default behavior provides the following ros2_control interfaces:
- hardware_interface::JointStateInterface
- hardware_interface::EffortJointInterface
- hardware_interface::VelocityJointInterface
Advanced: custom ign_ros2_control Simulation Plugins
The ign_ros2_control
Gazebo plugin also provides a pluginlib-based interface to implement custom interfaces between Gazebo and ros2_control
for simulating more complex mechanisms (nonlinear springs, linkages, etc).
These plugins must inherit the ign_ros2_control::IgnitionSystemInterface
, which implements a simulated ros2_control
hardware_interface::SystemInterface
. SystemInterface provides API-level access to read and command joint properties.
The respective IgnitionSystemInterface sub-class is specified in a URDF model and is loaded when the robot model is loaded. For example, the following XML will load the default plugin:
<ros2_control name="IgnitionSystem" type="system">
<hardware>
<plugin>ign_ros2_control/IgnitionSystem</plugin>
</hardware>
...
<ros2_control>
<gazebo>
<plugin name="ign_ros2_control" filename="libign_ros2_control-system.so">
...
</plugin>
</gazebo>
Set up controllers
Use the tag <parameters>
inside <plugin>
to set the YAML file with the controller configuration
and use the tag <controller_manager_prefix_node_name>
to set the controller manager node name.
<gazebo>
<plugin name="ign_ros2_control" filename="libign_ros2_control-system.so">
<parameters>$(find ign_ros2_control_demos)/config/cartpole_controller.yaml</parameters>
<controller_manager_prefix_node_name>controller_manager</controller_manager_prefix_node_name>
</plugin>
<gazebo>
This controller publishes the state of all resources registered to a
hardware_interface::StateInterface
to a topic of type sensor_msgs/msg/JointState
.
The following is a basic configuration of the controller.
joint_state_controller:
ros__parameters:
type: joint_state_controller/JointStateController
This controller creates an action called /cart_pole_controller/follow_joint_trajectory
of type control_msgs::action::FollowJointTrajectory
.
cart_pole_controller:
ros__parameters:
type: joint_trajectory_controller/JointTrajectoryController
joints:
- slider_to_cart
write_op_modes:
- slider_to_cart
Executing the examples
There are some examples in the ign_ros2_control_demos
package. These examples allow to launch a cart in a 30 meter rail.
You can run some of the example configurations by running the following commands:
ros2 launch ign_ros2_control_demos cart_example_position.launch.py
ros2 launch ign_ros2_control_demos cart_example_velocity.launch.py
ros2 launch ign_ros2_control_demos cart_example_effort.launch.py
ros2 launch ign_ros2_control_demos diff_drive_example.launch.py
Send example commands:
When the Gazebo world is launched, you can run some of the following commands to move the cart.
ros2 run ign_ros2_control_demos example_position
ros2 run ign_ros2_control_demos example_velocity
ros2 run ign_ros2_control_demos example_effort
ros2 run ign_ros2_control_demos example_diff_drive