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100% OFF Programming Languages ★ 4.7 • 9,862 students • 21.5 hours

Robotics and ROS 2 – Learn by Doing! Manipulators

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:

  1. Introduction to the Course

  2. Set up the Environment: Install Ubuntu and ROS Noetic

  3. Introduction to ROS: What is ROS and why is it so important in Robotics?

    Create the first ROS node

    1. ROS Publisher/Subscriber

  4. Digital Twin: Use a simulator to develop and test the functionalities of the robot without the need of any hardware device

    1. URDF

    2. Gazebo

    3. Parameters

    4. RViz2

    5. Launch Files

  5. Control: How to create a Control System for Robot Actuators

    1. Timer

    2. Services

    3. ros2_control

  6. Kinematics: Use the package MoveIt! for trajectory planning

    1. TF2

    2. MoveIt! 2

  7. Application: Interface and make available all the functionalities of the robot to other software to create more complex applications and functionalities

    1. Actions

  8. Alexa: Use the Alexa Voice Assistant to actuate the robot with voice

  9. Build the Robot: Build the real robot and migrate all the functionalities from a simulated robot to a real one

    1. Arduino IDE

    2. Serial Communication

  10. 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 Students9862
Duration21.5 hours
LanguageEnglish (US)
Original Price$79.99
Sale Price 0
Number of lectures123
Number of quizzes3
Total Reviews907
Global Rating4.72
Instructor NameAntonio Brandi

Course Insights (for Students)

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Student Satisfaction

94% positive recent sentiment

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Momentum

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Time & Value

  • Est. time: 21.5 hours
  • Practical value: 9/10

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Roadmap Fit

  • Beginner → Intermediate → Advanced
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Key Takeaways for Learners

  • Automation
  • Hands On
  • Project

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What learners praise

  • Hands On
  • Project
  • Real World
  • Comprehensive
  • Clear Explanation

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Watch-outs

  • Error
  • Missing project

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Difficulty

Intermediate

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Best suited for

Marketers with some platform experience, Doers who prefer project-led learning

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