How to Write a C++ ROS 2 Node: A Beginner-Friendly Guide
Learn to create your first ROS 2 C++ node with our beginner friendly guide. Start your robotics journey and enhance your programming skills effectively!

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Learn to create your first ROS 2 C++ node with our beginner friendly guide. Start your robotics journey and enhance your programming skills effectively!
Quick Answer
Learn to create your first ROS 2 C++ node with our beginner friendly guide. Start your robotics journey and enhance your programming skills effectively!
Who This Is For
- ROS 2 Learner
- Robotics Student
- Software Developer
What You Will Learn
What ROS 2 means in practical robotics.
How this topic connects to real robot projects.
What to learn or build next after this article.
Introduction
Robot Operating System 2 (ROS 2) represents a significant shift in the design and approach to robotic middleware. It's tailored for modern robotics applications, offering
- improved security
- Reliability
- Scalability But this enhancement brought complexity to its structure for starters and introduced a steep learning curve. The key things you need are C++ basic syntax understanding.
Starting Point
No understanding of
- ROS 2 C++ Node Structure
- how to select a message type
- Customise ROS 2 Node template
Learning outcomes
Easily able to
- Publish data on different messages
- Control Publishing messages speed
- Single-Node Publishing and Subscribing
ROS 2 C++ Node High Level Strucutre
- The below example is taken from the official Wiki of ROS 2 : Writing a simple publisher and subscriber (C++)
- No Need to fully understand the code; just absorb the workflow
- Importing Libraries
#include <libraries>
#include <ros2msg_hpp>
- Minimal Publisher Class
class{ public :
publisher = (msgtype ,topic)
timer =
run callback function
every X ms (frequency)
to publish data
}
- Call-back function for Publishing
private:
void callback(){
msg object create
msg_data fill
publish(msg)
- Main Function Call
int main(){
rclcpp spin (class)
}

Compiling and Running a ROS 2 node
I would recommend you get the publisher code and build it according to the wiki. It works in following order:
- Writing a C++ Node
#include <rclcpp>
int main(){
node=create.publisher()
publisher.publish(data)
}
- To compile, we add it into our package, CmakeLists.txt
find_pkg(rclcpp)
add_exe(node src/node.cpp)
- We link required libraries with the compiled executable and build
target_dependencies(node rclcpp)
colcon build
- We run using ros2 run command
ros2 run your_package_name node
ROS 2 C++ Publisher Node Understanding
Code Snippet requires an understanding of C++ concepts, but for utilising a basic template for your purpose, you need to just understand four points.
Defining a Message type for Communication
ROS 2 has a lot of buld in message that you can utilize , although you can create your own as well , below we will be using a sensor essage type for IMU data. Finding ROS 2 Message types
ros2 interface show <name>*( example : ros2 interface show sensor_msgs/msg/Imu )*
For adding message to C++ source file
find /opt/ros/<ros2-distro>/include -name "imu.hpp"*(example distro = humble )*
Including message headers in Nodes
For astring****data Message
#include "std_msgs/msg/string.hpp"
For Integer****data message
#include "std_msgs/msg/int32.hpp"
For IMU sensor data message
#include "sensor_msgs/msg/imu.hpp"
Defining Publisher Topic
## For a** string** message
publisher_ = this->create_publisher**<std_msgs::msg::String>**("string_topic", 10);
rclcpp::Publisher**<std_msgs::msg::String>**::SharedPtr publisher_;
## For a** int32** message
publisher_ = this->create_publisher**<std_msgs::msg::Int32>**("int_topic", 10);
rclcpp::Publisher**<std_msgs::msg::Int32>**::SharedPtr publisher_;
## For a** imu sensor** message
publisher_ = this->create_publisher**<sensor_msgs::msg::Imu>**("imu_topic", 10);
rclcpp::Publisher**<sensor_msgs::msg::Imu>**::SharedPtr publisher_;
Sending Data
Int32 Data
auto message = std_msgs::msg::Int32();
message.data = count_++;
publisher_->publish(message);
String Data
auto message = std_msgs::msg::String();
message.data = "Hi Robotisim";
publisher_->publish(message);
Imu Sensor data ( this is not general data like above; it is designed for real imu sensor data carriage )
auto message = sensor_msgs::msg::Imu();
message.header.stamp = this->get_clock()->now();
message.angular_velocity.x = 0.0;
message.angular_velocity.y = 0.0;
message.angular_velocity.z = 1.0;
message.linear_acceleration.x = 0.2;
message.linear_acceleration.y = 0.3;
message.linear_acceleration.z = 0.4;
publisher_->publish(message);
ROS 2 C++ Subscriber Node Understanding
Defining a Message type for Communication
This is important step for communication , message type should exactly be same as on publishing side. For a string data type
subscription_ = this->create_subscription
- **<std_msgs::msg::Int32>** ("
- **int_topic** ", 10, std::bind(&MinimalSubscriber::
- **topic_callback** , this,_1)); }
- We have here data type as**<std_msgs::msg::Int32>**
- topic name isstring_topic
- callback function on each message received istopic_callback
- We have here data type as**<sensor_msgs::msg::Imu>**
- topic name isimu_topic
- callback function on each message received istopic_callback For Imu data
subscription_ = this->create_subscription
- **<sensor_msgs::msg::Imu>** ( "
- **imu_topic** ", 10, std::bind(&IMUSubscriber::
- **topic_callback** , this, std::placeholders::_1)); }
Processing Received Data
This message type only contains a single entry For Int32
void topic_callback(const std_msgs::msg::Int32::SharedPtr msg) const
{
RCLCPP_INFO(this->get_logger(), "I heard: '%s'", msg->data);
}
For Imu data
void topic_callback(const sensor_msgs::msg::Imu::SharedPtr msg)
{
RCLCPP_INFO(this->get_logger(), "Received IMU data: Angular velocity Z:
'%f'", msg->angular_velocity.z);
}
There are other fields that you can find through ros2 interface command
Single-Node Publishing and Subscribing
There are many cases where we have to subscribe a data as well as publish data within a single node. For that scenario, we apply our programming concepts to ROS 2 C++ node.Below is the code that shows the implementation of the concept.you will observe that the additions are in public initialization and private functions We recommend you apply the four-step ROS 2 C++ node structure explained initially to the below-listed node.
#include "rclcpp/rclcpp.hpp"
#include "std_msgs/msg/int32.hpp"
#include "sensor_msgs/msg/imu.hpp"
using namespace std::chrono_literals;
class IntAndIMUPublisherSubscriber : public rclcpp::Node
{
public:
IntAndIMUPublisherSubscriber()
: Node("int_and_imu_publisher_subscriber"), count_(0)
{
int_publisher_ = this->create_publisher<std_msgs::msg::Int32>("int_topic", 10);
imu_subscription_ = this->create_subscription<sensor_msgs::msg::Imu>(
"imu_topic", 10, std::bind(&IntAndIMUPublisherSubscriber::imu_callback, this, std::placeholders::_1));
// Timer to periodically publish Int32 data
timer_ = this->create_wall_timer(
1000ms, std::bind(&IntAndIMUPublisherSubscriber::timer_callback, this));
}
private:
void timer_callback()
{
auto message = std_msgs::msg::Int32();
message.data = count_++;
RCLCPP_INFO(this->get_logger(), "Publishing: %d", message.data);
int_publisher_->publish(message);
}
void imu_callback(const sensor_msgs::msg::Imu::SharedPtr msg)
{
RCLCPP_INFO(this->get_logger(), "Received IMU data: Angular velocity Z: '%f'", msg->angular_velocity.z);
}
rclcpp::TimerBase::SharedPtr timer_;
rclcpp::Publisher<std_msgs::msg::Int32>::SharedPtr int_publisher_;
rclcpp::Subscription<sensor_msgs::msg::Imu>::SharedPtr imu_subscription_;
int count_;
};
int main(int argc, char*argv [])
{
rclcpp::init(argc, argv);
auto node = std::make_shared<IntAndIMUPublisherSubscriber>();
rclcpp::spin(node);
rclcpp::shutdown();
return 0;
}
Video Demonstration on ROS 2 C++ Nodes
https://www.youtube.com/watch?v=cjckvOHo8B4&t=182s
FAQs for ROS 2 C++ Nodes
- If we have Python-based code as well, then why should we go with C++?
- Choosing C++ over Python for ROS 2 development depends on several factors, including performance requirements, real-time capabilities, and system complexity. C++ offers more control over system resources and execution speed, which is critical in many robotics applications that require real-time performance. While Python might be easier to use and faster for development, C++ provides better efficiency and is more suitable for lower-level system interactions.
- How do I determine when to use a publisher or a subscriber in ROS 2? - The decision to use a publisher or a subscriber in ROS 2 depends on the role your node needs to play in the communication ecosystem. Use a publisher when your node needs to send information, such as sensor data or status updates. Use a subscriber when your node needs to receive and react to information from other nodes, such as commands or sensor data from different parts of the system.
- Can ROS 2 nodes written in C++ interact with nodes written in Python? - Yes, ROS 2 nodes written in C++ can interact seamlessly with nodes written in Python. By utilising a middleware to manage node-to-node communication, ROS 2 offers an abstraction layer on top of the programming language. This implies that no extra configuration is needed for a Python node to subscribe to messages from a C++ node and vice versa.
ROS 2 C++ Quiz
Practical Example
A practical way to use this article is to connect the concept to a small robot workflow: identify the input, the processing step, and the output you expect from the robot. If the article involves ROS 2, test the idea in a small workspace or simulation before applying it to a larger robot project.
Common Mistakes
- Trying to memorize the term without connecting it to a robot behavior.
- Skipping the prerequisite concepts that make the workflow easier to debug.
- Copying commands or code without checking what each node, topic, file, or parameter is responsible for.
- Treating one tutorial as a complete roadmap instead of linking it to the next concept.
How This Connects to Other Topics
- 3D Printing Robotics Hardware for an Autonomous Robot Build
- How to Collect Raw Sensor Data for Robotics with ROS 2
- How to Add Custom Libraries to a ROS 2 Python Package
- How to Start Developing in ROS 2: A Beginner-Friendly Guide
- How to Finish Your First ROS Robotics Project
Learn Next
- 3D Printing Robotics Hardware for an Autonomous Robot Build
- How to Collect Raw Sensor Data for Robotics with ROS 2
- How to Add Custom Libraries to a ROS 2 Python Package
- How to Start Developing in ROS 2: A Beginner-Friendly Guide
- How to Finish Your First ROS Robotics Project
- ROS 2 Foundation Path
FAQ
Is How to Write a C++ ROS 2 Node: A Beginner-Friendly Guide suitable for beginners?
Yes. The article is written to make the concept easier to understand, while still connecting it to practical robotics work.
What should I learn before this topic?
Start with the prerequisite ideas listed in the article, then connect them to a small project or simulation so the concept becomes concrete.
How does this topic connect to real robots?
It helps you understand how software, sensors, control, simulation, or career decisions show up in practical robot development.
What should I do after reading this article?
Pick one related concept from the Learn Next section and build a small example that uses it.
Can I learn this through Robotisim?
Yes. Robotisim connects these concepts to structured learning paths and project-based robotics practice.
Final Summary
How to Write a C++ ROS 2 Node: A Beginner-Friendly Guide is part of the broader ROS 2 Learning learning path. The key is to understand the concept, connect it to a real robot workflow, and then practice it through a focused project instead of learning it in isolation.
This article supports ROS 2 Foundation Path, especially ROS 2.
Learn with Robotisim
Start learning ROS 2 step by step inside Robotisim.
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