Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix state and command interfaces register bug #5

Merged
merged 2 commits into from
Jan 16, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 8 additions & 5 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,8 @@

This package provides ROS 2 controllers for controlling Omnidirectional robots with three wheels. It is based on the concepts of [ros2_control] and [ros2_controllers]. Initially, only forward and inverse kinematics, based solely on the [diff_drive_controller], and odometry calculation have been implemented. The input for control is robot body velocity ($\dot{x}$, $\dot{y}$, $\dot{\theta}$) commands, which are translated into wheel commands ($\omega_1$, $\omega_2$, $\omega_3$) for an omnidirectional robot with three wheels. Odometry is computed from hardware feedback and published. It is worth noting that there are plans to further develop advanced linear and non-linear controllers, such as Model Predictive Control (MPC).

See the documentation [Omnidirectional Robot Kinematics and Odometry](doc/kinematics_and_odometry.md) for more details.

**Author:** Mateus Menezes<br />
**Maintainer:** Mateus Menezes, [email protected]

Expand All @@ -13,9 +15,9 @@ ROS2 Distro | Branch | Build status |

## Installation Premises

1. This repository has been tested on [ROS2 Foxy] and with [Classic Gazebo 11];
1. This repository has been tested on [ROS2 Humble] and with [Classic Gazebo 11];

2. These instructions assume that you have already installed ROS2 Foxy Fitzroy on your machine. If not, please follow the recommended [recommended ubuntu installation tutorial];
2. These instructions assume that you have already installed ROS2 Humble Hawskbill on your machine. If not, please follow the recommended [recommended ubuntu installation tutorial];

3. Before installing the package, you will need to have an ament workspace set up. If you don't have one, follow the instructions in the [Creating a workspace tutorial]. Once you have created the workspace, clone this repository in the source folder of your workspace.

Expand All @@ -37,7 +39,7 @@ cd ~/ros_ws
rosdep init
rosdep update
sudo apt update
rosdep install --from-paths src/omnidirectional_controllers --ignore-src -r -y --rosdistro foxy
rosdep install --from-paths src/omnidirectional_controllers --ignore-src -r -y --rosdistro humble
```

If all dependencies are already installed, you should see the message "All required rosdeps installed successfully."
Expand All @@ -52,6 +54,7 @@ colcon build --symlink-install --event-handlers console_direct+
```

> Run `colcon build --help` to understand the arguments passed!
> If you want to generate the compile_commands.json file, add the argument `--cmake-args -DCMAKE_EXPORT_COMPILE_COMMANDS=1` to the command above.

After building the package, open a new terminal and navigate to your workspace. Then, source the overlay by running the following command:

Expand Down Expand Up @@ -96,8 +99,8 @@ Please report bugs and request features using the [Issue Tracker]
[ros2_control URDF]: https://github.com/mateusmenezes95/axebot/blob/foxy/axebot_description/urdf/ros2_control.urdf.xacro
[controller configuration]: https://github.com/mateusmenezes95/axebot/blob/foxy/axebot_control/config/omnidirectional_controller.yaml
[launch file]: https://github.com/mateusmenezes95/axebot/blob/foxy/axebot_gazebo/launch/axebot.launch.py
[Creating a workspace tutorial]: https://docs.ros.org/en/foxy/Tutorials/Beginner-Client-Libraries/Creating-A-Workspace/Creating-A-Workspace.html#creating-a-workspace
[recommended ubuntu installation tutorial]: https://docs.ros.org/en/foxy/Installation/Ubuntu-Install-Debians.html
[Creating a workspace tutorial]: https://docs.ros.org/en/humble/Tutorials/Beginner-Client-Libraries/Creating-A-Workspace/Creating-A-Workspace.html
[recommended ubuntu installation tutorial]: https://docs.ros.org/en/humble/Installation/Ubuntu-Install-Debians.html
[Source the overlay]: https://docs.ros.org/en/humble/Tutorials/Beginner-Client-Libraries/Creating-A-Workspace/Creating-A-Workspace.html#source-the-overlay
[geometry_msgs/msg/Twist]: https://docs.ros2.org/latest/api/geometry_msgs/msg/Twist.html
[nav_msgs/msg/Odometry]: https://docs.ros2.org/latest/api/nav_msgs/msg/Odometry.html
Expand Down
8 changes: 4 additions & 4 deletions doc/kinematics_and_odometry.md
Original file line number Diff line number Diff line change
Expand Up @@ -170,11 +170,11 @@ The robot’s velocity with regard to the world (w.r.t) is given by
v\\
v_{n}\\
\omega
\end{bmatrix}1
\end{bmatrix}
\end{equation}
```

where $R(\theta)$ is the rotation matrix around the $z$ axis perpendicular de horizontal plane $xy$, given by
where $R(\theta)$ is the rotation matrix around the $z$ axis perpendicular to the horizontal plane $xy$, given by

```math
\begin{equation}
Expand All @@ -188,9 +188,9 @@ where $R(\theta)$ is the rotation matrix around the $z$ axis perpendicular de ho
\end{equation}
```

Assume that the robot configuration $\mathbf{q}(t_k) = \mathbf{q}_k = (x_k,y_k,\theta_k)$ at the sampling time $t_k$ is known, together with the velocity inputs $v_k$, $v_{n_k}$, and $w_k$ applied in the interval $[t_k,\:t_{k+1})$. The value of the configuration variable $\mathbf{q}_{k+1}$ at the sampling time $t_{k+1}$ can then be reconstructed by forward integration of the kinematic model. Adapted from [2].
Assume that the robot configuration $q(t_k) = q_k = (x_k,y_k,\theta_k)$ at the sampling time $t_k$ is known, together with the velocity inputs $v_k$, $v_{n_k}$, and $w_k$ applied in the interval $[t_k,\:t_{k+1})$. The value of the configuration variable $q_{k+1}$ at the sampling time $t_{k+1}$ can then be reconstructed by forward integration of the kinematic model. Adapted from [2].

Considering that the sampling period $T_s = t_{k+1} - t_k$, the Euler method for the axebot configuration $\mathbf{q}_{k+1}$ is given by
Considering that the sampling period $T_s = t_{k+1} - t_k$, the Euler method for the axebot configuration $q_{k+1}$ is given by

```math
\begin{align}
Expand Down
14 changes: 7 additions & 7 deletions src/omnidirectional_controller.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -229,10 +229,11 @@ CallbackReturn OmnidirectionalController::on_activate(
// register handles
registered_wheel_handles_.reserve(wheel_names_.size());
for (const auto & wheel_name : wheel_names_) {
const auto state_handle = std::find_if(
state_interfaces_.cbegin(), state_interfaces_.cend(), [&wheel_name](const auto & interface) {
return interface.get_name() == wheel_name &&
interface.get_interface_name() == HW_IF_VELOCITY;
std::string interface_name = wheel_name + "/" + HW_IF_VELOCITY;

const auto state_handle = std::find_if(state_interfaces_.cbegin(), state_interfaces_.cend(),
[&interface_name](const auto & interface) {
return interface.get_name() == interface_name;
});

if (state_handle == state_interfaces_.cend()) {
Expand All @@ -242,9 +243,8 @@ CallbackReturn OmnidirectionalController::on_activate(

const auto command_handle = std::find_if(
command_interfaces_.begin(), command_interfaces_.end(),
[&wheel_name](const auto & interface) {
return interface.get_name() == wheel_name &&
interface.get_interface_name() == HW_IF_VELOCITY;
[&interface_name](const auto & interface) {
return interface.get_name() == interface_name;
});

if (command_handle == command_interfaces_.end()) {
Expand Down
Loading