Physical AI with ROS 2: Build a Robot Arm in Python & C++. Master MoveIt 2, ros2_control, Gazebo & Alexa Voice Control
Description
Would you like to learn ROS 2, the latest version of the Robot Operating System, by building a real Robot Arm?
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Would you like to step into the world of Physical AI and learn how to design, simulate, control, and program a robotic Manipulator? Would you like to command it with nothing more than your voice?
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In this course, you will build a 3D-printed Robot Arm from scratch. First, you will create its Digital Twin in Gazebo. Then you will control it with ros2_control and plan its trajectories with MoveIt 2. Finally, you will move it with the Amazon Alexa voice assistant. Every step runs on a real robot powered by Arduino, or entirely in simulation on your PC.
The philosophy of this course is Learn by Doing, and quoting the American writer and teacher Dale Carnegie:
Learning is an Active Process. We learn by doing; only knowledge that is used sticks in your mind.
To help you master these concepts and use them in your projects, and why not, also in your future job, I will guide you through every functionality of ROS 2, both from the theoretical and the practical point of view.
Each section is composed of three parts:
Theoretical explanation of the concept and functionality
Usage of the concept in a simple Practical example
Application of the functionality in a real Robot
I almost forgot! There is one more essential and exciting part of this course for your active learning:
Experiment, Develop, and Test your ideas in the Robot (real or simulated on your PC)
In each section of the course, I’ll introduce a new concept, and then we will use it to add new functionalities to the robot:
Introduction to the Course
Set up the Environment: Install Ubuntu and ROS Noetic
Introduction to ROS: What is ROS and why is it so important in Robotics?
Create the first ROS node
ROS Publisher/Subscriber
Digital Twin: Use a simulator to develop and test the functionalities of the robot without the need of any hardware device
URDF
Gazebo
Parameters
RViz2
Launch Files
Control: How to create a Control System for Robot Actuators
Timer
Services
ros2_control
Kinematics: Use the package MoveIt! for trajectory planning
TF2
MoveIt! 2
Application: Interface and make available all the functionalities of the robot to other software to create more complex applications and functionalities
Actions
Alexa: Use the Alexa Voice Assistant to actuate the robot with voice
Build the Robot: Build the real robot and migrate all the functionalities from a simulated robot to a real one
Arduino IDE
Serial Communication
Conclusion and Summary of the course
There is more!
All the programming lessons are developed in both Python and C++. You can choose the language you are most familiar with. I suggest following both to complete your Robotics Software Developer profile!
By taking this course, you will gain a deep understanding of robotic manipulators, ROS 2, and the core skills behind Physical AI. These skills open up opportunities in the exciting field of robotics, from industrial automation to collaborative robots.
| Total Students | 9862 |
|---|---|
| Duration | 21.5 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 123 |
| Number of quizzes | 3 |
| Total Reviews | 907 |
| Global Rating | 4.72 |
| Instructor Name | Antonio Brandi |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
94% positive recent sentiment
Momentum
🔥 Trending
Time & Value
- Est. time: 21.5 hours
- Practical value: 9/10
Roadmap Fit
- Beginner → Intermediate → Advanced
Key Takeaways for Learners
- Automation
- Hands On
- Project
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Project
- Real World
- Comprehensive
- Clear Explanation
Watch-outs
- Error
- Missing project
Difficulty
Best suited for
Marketers with some platform experience, Doers who prefer project-led learning
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