ROS 2 for Robotics: Learn ROS 2 Programming with Python and C++ for Robotic Applications

Discover the next generation of the Robot Operating System with
ROS 2
, a powerful framework that enables developers and enthusiasts to build and scale
robotics applications
faster than ever. This comprehensive guide walks you through every stage of
ROS 2
development—from
installation
on multiple platforms to creating advanced robotic behaviors, integrating sensors, and deploying distributed, multi-robot systems.
 
Key Features




Comprehensive Introduction to ROS 2:
Start with the fundamentals of the
Robot Operating System
and transition from ROS 1 to
ROS 2
smoothly.




Hands-On Python and C++ Examples:
Learn how to build, test, and debug
ROS 2 nodes
using two of the most popular programming languages for robotics.




Gazebo Simulation & URDF Robot Models:
Design and
simulate robots in Gazebo
, then bring them to life with custom
URDF robot models
for sensors and actuators.




Advanced Communication Techniques:
Dive into
topics
,
services
,
actions
, and
ROS 2 parameters
with real-world examples. Explore
TF in ROS 2
and
QoS profiles
to optimize performance.




RViz Visualization & ROS 2 Launch Files:
Seamlessly integrate
RViz visualization
to monitor your robots and craft robust
ROS 2 launch files
for streamlined project setup.




Multi-Robot Coordination & Distributed Systems:
Learn how to scale your projects for multi-robot systems,
ROS 2 best practices
, and inter-process communication strategies with DDS.


What You'll Explore Inside




ROS 2 Installation & Environment Setup
Get step-by-step instructions for setting up
ROS 2
on Ubuntu, Windows, and macOS, and learn best practices for configuring your workspace.




Core ROS 2 Concepts
Understand the building blocks:
ROS 2 nodes
,
topics
,
services
,
actions
, and how to manage
parameters
for dynamic reconfiguration.




Creating Custom Packages & Robot Models
Master
Python
and
C++
in
ROS 2
to build efficient packages. Design and
create a custom robot
with URDF for accurate simulation and control.




Simulation in Gazebo
Discover how to
simulate robots in Gazebo
—from setting up the environment to spawning and controlling robots with
ROS 2
for realistic testing.




Navigation, SLAM, and Localization
Integrate sensors like cameras, LIDAR, and IMU. Implement navigation algorithms for autonomous movement and explore
SLAM
for real-time mapping.




Advanced System Architecture & Multi-Robot Coordination
Scale your projects to multiple robots, leverage
ROS 2 best practices
, and understand the
DDS
middleware for robust
interprocess communication
.




ROS 2 for Real-World Applications
Learn to deploy on embedded hardware, integrate with IoT devices, and connect with cloud services to build production-level robotics solutions.