In order to learn how to create conditional publishers, let’s start by creating a publisher and a subscriber in Python. We are going to use The Construct (https://www.theconstruct.ai/) for this tutorial, but if you have ROS2 installed on your own computer, you should be able to do ~everything on your own computer, except this creating a rosject part.
Let’s start by opening The Construct (https://www.theconstruct.ai/) and logging in. You can easily create a free account if you still don’t have one.
Once inside, let’s create My Rosjects and then, Create a new rosject:
My Rosjects
Create a new rosject
For the rosject, let’s select ROS2 Foxyfor the ROS Distro, let’s name the rosject as Battery Level Node. You can leave the rosject public.
Battery Level Node – Conditional Publisher in ROS2
If you mouse over the recently created rosject, you should see a Run button. Just click that button to launch the rosject.
Writing a simple publisher and subscriber (Python)
Once the rosject is open, we can now create our publisher and subscriber. For that, we are going to use ROS Docs as a reference.
Let’s open a new terminal by clicking on the Open a new shell window button:
Open a new shell
Once the terminal is open, we can list the files with the ls command:
user:~$ ls
ai_ws catkin_ws notebook_ws ros2_ws simulation_ws webpage_ws
We can see a workspace named ros2_ws. Let’s enter that workspace using cd ros2_ws/:
user:~$ cd ros2_ws/
user:~/ros2_ws$
Let’s now source our workspace with:
source ~/ros2_ws/install/setup.bash
Let’s now enter our src folder:
cd ~/ros2_ws/src/
And create a package named py_pubsub (python publisher and subscriber):
Be aware that in order to create this package, we basically used ROS Docs for reference.
If you now list your src folder using ls, you should be able to see our package:
user:~/ros2_ws/src$ ls
py_pubsub
We can now enter into this py_pubsub package using cd py_pubsub/. We will find a new folder named py_pubsub inside it. Let’s just enter into it. The full command would be as easy as cd ~/ros2_ws/src/py_pubsub/py_pubsub/ . But if you want to go step by step:
user:~/ros2_ws/src$ cd py_pubsub/
user:~/ros2_ws/src/py_pubsub$ ls
package.xml py_pubsub resource setup.cfg setup.py test
user:~/ros2_ws/src/py_pubsub$ cd py_pubsub/
user:~/ros2_ws/src/py_pubsub/py_pubsub$ ls
__init__.py
user:~/ros2_ws/src/py_pubsub/py_pubsub$
Now inside that last py_pubsub folder, let’ download a publisher and a subscriber named publisher_member_function.py and subscriber_member_function.py respectively. Bear in mind that up to this point we are basically following the docs aforementioned:
cd ~/ros2_ws/src/py_pubsub/py_pubsub
wget https://raw.githubusercontent.com/ros2/examples/foxy/rclpy/topics/minimal_publisher/examples_rclpy_minimal_publisher/publisher_member_function.py
wget https://raw.githubusercontent.com/ros2/examples/foxy/rclpy/topics/minimal_subscriber/examples_rclpy_minimal_subscriber/subscriber_member_function.py
We should now have three files inside our py_pubsub folder/package:
cd ~/ros2_ws/src/py_pubsub/py_pubsub; ls
__init__.py publisher_member_function.py subscriber_member_function.py
Let’s now open the publisher_member_function.py using the Code Editor:
ROS2 Publisher
Let’s modify the timer_callback method of the publisher_member_funcion.py, so that instead of increasing the initial value, let’s decrease it. Let’s also modify our constructor (__init__ method) to make the initial value of the i variable be 100.
What this means is that the i variable will initially have the value 100, then it is going to decrease it. The final content of the publisher_member_funcion.py file should be similar to the following:
# Copyright 2016 Open Source Robotics Foundation, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import rclpy
from rclpy.node import Node
from std_msgs.msg import String
class MinimalPublisher(Node):
def __init__(self):
super().__init__('minimal_publisher')
self.publisher_ = self.create_publisher(String, 'topic', 10)
timer_period = 0.5 # seconds
self.timer = self.create_timer(timer_period, self.timer_callback)
self.i = 100
def timer_callback(self):
msg = String()
msg.data = 'Battery Level: %d' % self.i
self.publisher_.publish(msg)
self.get_logger().info('Publishing: "%s"' % msg.data)
self.i -= 1
def main(args=None):
rclpy.init(args=args)
minimal_publisher = MinimalPublisher()
rclpy.spin(minimal_publisher)
# Destroy the node explicitly
# (optional - otherwise it will be done automatically
# when the garbage collector destroys the node object)
minimal_publisher.destroy_node()
rclpy.shutdown()
if __name__ == '__main__':
main()
Now let’s open also our subscriber_member_function.py file and modify the listener_callback method so that it will have the following content:
What the changes are going to do is: if the battery level is between 70 and 66 %, then a warning message will be printed, and that warning will be published into a topic named /battery.
We also have to create the publisher into the constructor (__init__ method) with:
So in the end, the final subscriber will look like this:
# Copyright 2016 Open Source Robotics Foundation, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import rclpy
from rclpy.node import Node
from std_msgs.msg import String
class MinimalSubscriber(Node):
def __init__(self):
super().__init__('minimal_subscriber')
self.subscription = self.create_subscription(
String,
'topic',
self.listener_callback,
10)
self.subscription # prevent unused variable warning
self.publisher_ = self.create_publisher(String, 'battery', 10)
def listener_callback(self, msg):
if msg.data in ['Battery Level: 70', 'Battery Level: 69', 'Battery Level: 68', 'Battery Level: 67', 'Battery Level: 66']:
self.get_logger().info('WARNING!: "%s"' % msg.data)
self.publisher_.publish(msg)
def main(args=None):
rclpy.init(args=args)
minimal_subscriber = MinimalSubscriber()
rclpy.spin(minimal_subscriber)
# Destroy the node explicitly
# (optional - otherwise it will be done automatically
# when the garbage collector destroys the node object)
minimal_subscriber.destroy_node()
rclpy.shutdown()
if __name__ == '__main__':
main()
Now that we have our publisher and subscriber, ready where the subscriber contains a conditional publisher, now open our package.xml file and add rclpy and std_msgs as dependencies, by adding the two lines below afterament_python:
The final result should be similar to the image below:
exec_depend rcl_py and std_msgs
Let’s now open the setup.py file and add our publisher and subscriber (let’s call them talker and listener respectively) to the entry_points. Our final entry_points should look like:
Now that our ros2_ws (ROS2 Workspace) is built, let’s run our publisher and subscriber to make sure they are working. Let’s start by running our publisher, that we named talker.
source ~/ros2_ws/install/setup.bash
ros2 run py_pubsub talker
If everything went ok, you should see something similar to this:
But, if you got an error message like this one “No executable found“, then it means you need to make your publisher and subscriber executables. You can make them executable with:
chmod +x ~/ros2_ws/src/py_pubsub/py_pubsub/*
You can now open a different web shell and run the subscriber named listener with:
source ~/ros2_ws/install/setup.bash
ros2 run py_pubsub listener
If the battery level is already below 66%, you should see no messages being published by the listener. If that is the case, please kill and start the talker again in the first terminal. You can kill it with CTRL+C , and can start it again just as you did before:
CTRL+C
ros2 run py_pubsub talker
After having restarted the talker in the first terminal, you can now keep an eye on the terminal where the listener was executed. When the battery level goes between 70 and 66%, the following message should have been printed.
Be aware that in order to see the message being published in the third terminal, where the /battery topic is being echoed, you have to restart the talker again, since the battery level at this point is well below the 65%.
Again, you can kill the talker in the first terminal with CTRL+C , and can start it again just as you did before:
CTRL+C
ros2 run py_pubsub talker
Now you should be able to see the output in the third terminal (/battery topic)
Congratulations. You made it. You now know not only how to create conditional publishers, but you have also learned how to create packages, and modify publishers and subscribers in ROS2 Python.
Youtube video
So this is the post for today. Remember that we have the live version of this post on YouTube. If you liked the content, please consider subscribing to our youtube channel. We are publishing new content ~every day.
In order to learn how to make ROS1 interact with ROS2, we need to have ROS1 and ROS2 installed in our computers. Installing two different distros is not going to be covered in this topic because we are going to use The Construct (https://www.theconstruct.ai/) for this tutorial, where both ROS installations are already available. But if you want to test everything on your own computer, feel free to install ROS1 Noetic and install ROS2 Foxy on your Ubuntu 20.04 computer.
Let’s start by opening The Construct (https://www.theconstruct.ai/) and logging in. You can easily create a free account if you still don’t have one.
Once inside, let’s create My Rosjects and then, Create a new rosject:
My Rosjects
Create a new rosject
For the rosject, let’s select ROS2 Foxyfor the ROS Distro, let’s name the rosject as ROS1/2 Node. You can leave the rosject public.
Interaction between ROS1 and ROS2 Nodes using ros1_bridge
If you mouse over the recently created rosject, you should see a Run button. Just click that button to launch the rosject.
Installing ros1_bridge
As we mentioned at the beginning of this post, you need to have ROS1 and ROS2 installed on the computer. Thank God we already have that on The Construct.
Let’s open a new terminal by clicking on the Open a new shell window button:
Open a new shell
Now, let’s check the ROS distributions that we have installed:
ls /opt/ros/
You should see at least foxy and noetic installed.
Let’s now install ros1_bridge, a ROS 2 package that provides bidirectional communication between ROS 1 and ROS 2.
If everything went ok, you should have a /chatter topic now, and the talker should be printing something like the output below:
[INFO] [1636419517.414196]: hello world 1636419517.414014
[INFO] [1636419517.515074]: hello world 1636419517.5148714
[INFO] [1636419517.614426]: hello world 1636419517.614205
[INFO] [1636419517.714437]: hello world 1636419517.7142227
[INFO] [1636419517.814406]: hello world 1636419517.8142045
[INFO] [1636419517.914464]: hello world 1636419517.9142513
You can also confirm that there is a /chatter topic in ROS1 with the following commands in another (third) terminal:
source /opt/ros/noetic/setup.bash
rostolic list
The output should be similar to the following:
/chatter
/rosout
/rosout_agg
Starting a ROS2 Node
So far we have launched a ROS1 node. Let’s open a different terminal (a fourth one), source ROS2 and check the list of topics:
source /opt/ros/foxy/setup.bash
ros2 topic list
The topics listed should contain no reference to /chatter, the topic being published by a ROS1 node. The list of topics in ROS2 should be:
/parameter_events
/rosout
Now let’s run ROS1 Bridge. For that, let’s first source both ros1 and ros2. Let’s open a fifth terminal for that:
source /opt/ros/noetic/setup.bash
source /opt/ros/foxy/setup.bash
ros2 run ros1_bridge dynamic_bridge --bridge-all-topics
If everything went ok after launching ROS1 Bridge, the output should be similar to this:
created 1to2 bridge for topic '/chatter' with ROS 1 type 'std_msgs/String' and ROS 2 type 'std_msgs/msg/String'
created 1to2 bridge for topic '/rosout' with ROS 1 type 'rosgraph_msgs/Log' and ROS 2 type 'rcl_interfaces/msg/Log'
created 1to2 bridge for topic '/rosout_agg' with ROS 1 type 'rosgraph_msgs/Log' and ROS 2 type 'rcl_interfaces/msg/Log'
created 2to1 bridge for topic '/chatter' with ROS 2 type 'std_msgs/msg/String' and ROS 1 type 'std_msgs/String'
created 2to1 bridge for topic '/rosout' with ROS 2 type 'rcl_interfaces/msg/Log' and ROS 1 type 'rosgraph_msgs/Log'
[INFO] [1636419930.466921521] [ros_bridge]: Passing message from ROS 1 std_msgs/String to ROS 2 std_msgs/msg/String (showing msg only once per type)
[INFO] [1636419930.467529301] [ros_bridge]: Passing message from ROS 2 rcl_interfaces/msg/Log to ROS 1 rosgraph_msgs/Log (showing msg only once per type)
[INFO] [1636419930.467995035] [ros_bridge]: Passing message from ROS 2 std_msgs/msg/String to ROS 1 std_msgs/String (showing msg only once per type)
removed 2to1 bridge for topic '/chatter'
[INFO] [1636419930.587503640] [ros_bridge]: Passing message from ROS 1 rosgraph_msgs/Log to ROS 2 rcl_interfaces/msg/Log (showing msg only once per type)
If we now go back to the fourth terminal and list the ROS2 topics again:
source /opt/ros/foxy/setup.bash
ros2 topic list
Now we should see a /chatter topic.
/chatter
/parameter_events
/rosout
/rosout_agg
This is really awesome, isn’t it? We are running a publisher in ROS1, and we can see the topic in ROS2.
If we can see the topic, we also expect to see what is being published, right? Let’s try to subscribe to that topic using ROS2 to see what happens. We can run the command below in the same terminal where we listed the ros2 topics:
ros2 topic echo /chatter
If everything worked for you as it should, you should be able to see in ROS2 the messages published in ROS1:
data: hello world 1636420166.362258
---
data: hello world 1636420166.4622662
---
data: hello world 1636420166.5622616
---
data: hello world 1636420166.662261
---
data: hello world 1636420166.7621603
Awesome. Congratulations. You made it. You now have seen, with hands-on, how to make ROS1 and ROS2 topics interact with one another. This is certainly a really basic example, but we hope you find it useful. Feel free to kill the nodes you launched in the different terminals if you want. You can also keep using The Construct to improve your ROS Skills.
Youtube video
So this is the post for today. Remember that we have the live version of this post on YouTube. If you liked the content, please consider subscribing to our youtube channel. We are publishing new content ~every day.
In this post, we will see how to implement Real Time in ROS2, using the ROS2 Pendulum Real Time demo.
Step 1: Grab a copy of the ROS Project containing the code
Click here to get your own copy of the project (PS: If you don’t have an account on the ROS Development Studio, you would need to create one. Once you create an account or log in, we will copy the project to your workspace).
That done, open the project using the Run button. This might take a few moments, please be patient.
You should now see a notebook with detailed instructions. This post includes a summary of these instructions and some other tips.
Step 2: Start the Simulation
Start a web shell from the bottom bar of the screen as shown above and run the following command:
cd ~/ros2_ws
source install/local_setup.bash
ros2 launch pendulum_bringup pendulum_bringup.launch.py rviz:=True
See the robot by clicking on the Graphical Tools icon on the bottom bar:
You should now see something like this (if you cannot see it, please ensure the ros2 launch command is still running and restart it if necessary):
You might need to drag the window into focus and then maximize it.
Move the robot by executing the following in a new terminal:
If you want to run the simulation on your local PC, then you need to run the commands given in the Setup section.
Step 3: Explore the source code using the IDE
Open the IDE by clicking on the icon as shown above. You should now see something similar to the image below:
All the files used in the simulation are in the ros2_ws/src directory. Explore the files. Double-click to open a file in the editor. You will refer back to some of the files later on.
Step 4: Watch the video to understand how the simulation implemented Real Time in ROS2 with the Pendulum
Here you go:
Step 5: Consolidate your learning
Do you understand how to implement Real Time in ROS2 after watching the video? If not, have you gone over the video again?
Can you try to implement the simulation on your local PC?
Did you like this post? Do you have any questions about the explanations? Whatever the case, please leave a comment on the comments section below, so we can interact and learn from each other.
If you want to learn about other ROS2 topics, please let us know in the comments area and we will do a video or post about it.
In this post you’ll learn how to program a robot to avoid obstacles using ROS2 and C++.
Up to the end of the post, the Dolly robot moves autonomously in a scene with many obstacles, simulated using Gazebo 11.
You’ll learn:
How to publish AND subscribe topics in the same ROS2 Node
How to avoid obstacles
How to implement your own algorithm in ROS2 and C++
1 – Setup environment – Launch simulation
Before anything else, make sure you have the rosject from the previous post, you can copy it from here.
Launch the simulation in one webshell and in a different tab, checkout the topics we have available. You must get something similar to the image below:
2 – Create the node
In order to have our obstacle avoidance algorithm, let’s create a new executable in the file ~/ros2_ws/src/my_package/obstacle_avoidance.cpp:
#include "geometry_msgs/msg/twist.hpp" // Twist
#include "rclcpp/rclcpp.hpp" // ROS Core Libraries
#include "sensor_msgs/msg/laser_scan.hpp" // Laser Scan
using std::placeholders::_1;
class ObstacleAvoidance : public rclcpp::Node {
public:
ObstacleAvoidance() : Node("ObstacleAvoidance") {
auto default_qos = rclcpp::QoS(rclcpp::SystemDefaultsQoS());
subscription_ = this->create_subscription(
"laser_scan", default_qos,
std::bind(&ObstacleAvoidance::topic_callback, this, _1));
publisher_ =
this->create_publisher("cmd_vel", 10);
}
private:
void topic_callback(const sensor_msgs::msg::LaserScan::SharedPtr _msg) {
// 200 readings, from right to left, from -57 to 57 degress
// calculate new velocity cmd
float min = 10;
for (int i = 0; i < 200; i++) { float current = _msg->ranges[i];
if (current < min) { min = current; } } auto message = this->calculateVelMsg(min);
publisher_->publish(message);
}
geometry_msgs::msg::Twist calculateVelMsg(float distance) {
auto msg = geometry_msgs::msg::Twist();
// logic
RCLCPP_INFO(this->get_logger(), "Distance is: '%f'", distance);
if (distance < 1) {
// turn around
msg.linear.x = 0;
msg.angular.z = 0.3;
} else {
// go straight ahead
msg.linear.x = 0.3;
msg.angular.z = 0;
}
return msg;
}
rclcpp::Publisher::SharedPtr publisher_;
rclcpp::Subscription::SharedPtr subscription_;
};
int main(int argc, char *argv[]) {
rclcpp::init(argc, argv);
rclcpp::spin(std::make_shared());
rclcpp::shutdown();
return 0;
}
In the main function we have:
Initialize node rclcpp::init
Keep it running rclcpp::spin
Inside the class constructor:
Subcribe to the laser scan messages: subscription_
Publish to the robot diff driver: publisher_
The obstacle avoidance intelligence goes inside the method calculateVelMsg. This is where decisions are made based on the laser readings. Notice that is depends purely on the minimum distance read from the message.
If you want to customize it, for example, consider only the readings in front of the robot, or even check if it is better to turn left or right, this is the place you need to work on! Remember to adjust the parameters, because the way it is, only the minimum value comes to this method.
3 – Compile the node
This executable depends on both geometry_msgs and sensor_msgs, that we have added in the two previous posts of this series. Make sure you have them at the beginning of the ~/ros2_ws/src/my_package/CMakeLists.txt file:
In order to learn how to use a static transform, we need a ROS2 Python package. We are going to use The Construct (https://www.theconstruct.ai/) for this tutorial, but if you have ROS2 installed on your own computer, you should be able to do ~everything on your own computer, except this creating a rosject part.
Let’s start by opening The Construct (https://www.theconstruct.ai/) and logging in. You can easily create a free account if you still don’t have one.
Once inside, let’s create My Rosjects and then, Create a new rosject:
My Rosjects
Create a new rosject
For the rosject, let’s select ROS2 Foxyfor the ROS Distro, let’s name the rosject as static_tf_publisher. You can leave the rosject public.
Static TF Publisher
If you mouse over the recently created rosject, you should see a Run button. Just click that button to launch the rosject.
Creating a ROS2 package named static_tf_transform
Once the rosject is open, we can now create a package that will be used to publish the static transform.
Let’s open a new terminal by clicking on the Open a new shell window button:
Open a new shell
Once the terminal is open, we can list the files with the ls command:
user:~$ ls
ai_ws catkin_ws notebook_ws ros2_ws simulation_ws webpage_ws
We can see a workspace named ros2_ws. Let’s enter that workspace using cd ros2_ws/:
If you now list your src folder using ls, you should be able to see our package:
user:~/ros2_ws/src$ ls
static_tf
We can now enter into this static_tf package using cd static_tf/ and create a launch folder there, and a file named static_tf_launch.py on that folder:
cd ~/ros2_ws/src/static_tf/
mkdir launch
touch launch/static_tf_launch.py
We can now open that static_tf_launch.py file using the Code Editor, and add the following content to it:
Once the static_tf_launch.py file is ok, let’s now open again our setup.py file (~/ros2_ws/src/static_tf/setup.py), and add our static_tf_launch.py file to data_files, so that our launch file will be included in the install folder when we compile our workspace. By doing this we will be able to execute it:
The bit we have to add to data_files is (os.path.join(‘share’, package_name, ‘launch’), glob(‘launch/*.py’)), so that data_files looks like:
After launching the static_tf_launch.py file, the output should be similar to the following:
[INFO] [launch]: All log files can be found below /home/user/.ros/log/2021-11-08-23-10-55-010925-2_xterm-6136
[INFO] [launch]: Default logging verbosity is set to INFO
[INFO] [static_transform_publisher-1]: process started with pid [6138]
[static_transform_publisher-1] [INFO] [1636413056.712927342] [static_transform_publisher_uKqntZ5iDxRToFQR]: Spinning until killed publishing transform from 'odom' to 'laser'
As we can see in the logs, we have the static_transform_publisher publishing a static transform from the odom to the laser frame.
We can now go to a second terminal and check the transforms between the frames with:
ros2 run tf2_ros tf2_echo odom laser
Assuming everything went as expected, the output you should get should be similar to the following:
[INFO] [1636413489.330173729] [tf2_echo]: Waiting for transform odom -> laser: Invalid frame ID "odom" passed to canTransform argument target_frame - frame does not exist
At time 0.0
- Translation: [0.000, 0.000, 0.000]
- Rotation: in Quaternion [0.000, 0.000, 0.000, 1.000]
At time 0.0
- Translation: [0.000, 0.000, 0.000]
- Rotation: in Quaternion [0.000, 0.000, 0.000, 1.000]
At time 0.0
- Translation: [0.000, 0.000, 0.000]
- Rotation: in Quaternion [0.000, 0.000, 0.000, 1.000]
Congratulations. You now know how to publish a static transform between two frames in ROS2 using Python. In addition to that, you have also learned how to create a python package as well as a launch file along the way. Feel free to terminate the scripts you have executed by pressing CTRL+C in the terminals. You can also for sure spend more time using this great online platform, The Construct.
Youtube video
So this is the post for today. Remember that we have the live version of this post on YouTube. If you liked the content, please consider subscribing to our youtube channel. We are publishing new content ~every day.
In this post, we will see how to implement Gazebo joints control in ROS2. The way this is done has changed a bit from ROS1.
Step 1: Grab a copy of the ROS Project containing the code
Click here to get your own copy of the project (PS: If you don’t have an account on the ROS Development Studio, you would need to create one. Once you create an account or log in, we will copy the project to your workspace).
That done, open the project using the Run button. This might take a few moments, please be patient.
You should now see a notebook with detailed instructions. This post includes a summary of these instructions and some other tips.
Step 2: Start the Simulation and get the robot moving
Start a web shell from the bottom bar of the screen as shown above and run the following command:
ros2 launch box_car_gazebo box_bot_launch.py
Start another tab in the web shell, run the following command:
ros2 run teleop_twist_keyboard teleop_twist_keyboard --ros-args --remap cmd_vel:=/box_bot/cmd_vel
See the robot by clicking on the Gazebo icon on the bottom bar:
You should now see something like this (if you cannot see it, please ensure the ros2 launch command is still running and restart it if necessary):
Put the Gazebo window and the shell window with the teleop command side by side, focus on the shell and move the robot with the keyboard. You should see the robot run off. PS: use the z key to reduce the speed before moving the robot forward or backward, otherwise it runs off too quickly!
Step 3: Explore the source code using the IDE
Open the IDE by clicking on the icon as shown above. You should now see something similar to the image below:
All the files used in the simulation are in the ros2_ws/src directory. Explore the files. Double-click to open a file in the editor. You will refer back to some of the files later on.
Step 4: Watch the video to understand how we implemented gazebo joints control in ROS2
Here you go:
Step 5: Consolidate your learning
Do you understand how to implement gazebo joints control in ROS2 after watching the video? If not, have you gone over the video again?
If you are familiar with ROS1 control, can you see how it’s different from ROS control?
Did you like this post? Do you have any questions about the explanations? Whatever the case, please leave a comment on the comments section below, so we can interact and learn from each other.
If you want to learn about other ROS2 topics, please let us know in the comments area and we will do a video or post about it.