Robotics and ROS 2 - Learn by Doing! Manipulators
Udemy · Antonio Brandi · Updated
AI Tutor Rating
7.8/10
Duration
21.5 hours video
Classes
123
Create a ROS2 Manipulator Robot with Python and C++. Master Robot Control and MoveIt and use Alexa to move your robot.
Robotics and ROS 2 - Learn by Doing! Manipulators is a Udemy course focused on building and controlling robotic manipulator arms using the ROS 2 framework. The course spans 21.5 hours of video content across 123 lectures, teaching students to create manipulator robots from scratch with both Python and C++. It serves learners who already possess basic ROS 2 knowledge and aims to deliver practical skills in robot control, the MoveIt motion planning framework, and even voice control integration, culminating in a capstone project.
What you'll learn in Robotics and ROS 2 - Learn by Doing! Manipulators
Our Review of Robotics and ROS 2 - Learn by Doing! Manipulators
The course structure is project-centric, organized around building a functional ROS2 manipulator robot. The curriculum moves from foundational concepts in robot control and MoveIt to advanced Python topics and system optimization, suggesting a logical progression from theory to application. The 21.5-hour video format provides substantial depth, but the prerequisite of basic ROS 2 knowledge indicates this is not an introductory robotics course; it's designed for learners ready to apply core ROS 2 concepts to a complex hardware control problem.
The learning outcomes and curriculum chapters promise tangible, hands-on abilities. A successful student should be able to construct a manipulator's software stack, implement motion planning with MoveIt, and integrate a novel control interface like voice commands via Alexa. The $12.99 pricing for this volume of specialized content represents significant value, especially for self-directed learners. The included certificate of completion adds formal recognition for the skills demonstrated in the capstone project, which serves as a practical portfolio piece.
However, the course's value is heavily contingent on the learner's existing setup and motivation. It requires access to a simulation or physical hardware to 'learn by doing,' as the title promises. The teaching format is exclusively video-based, which may not suit those who prefer interactive coding exercises or detailed written reference materials often found on other platforms.
Pros and cons of Robotics and ROS 2 - Learn by Doing! Manipulators
Pros
- Comprehensive 21.5-hour project covering manipulator construction from scratch to advanced control
- Teaches dual-language implementation using both Python and C++, offering flexibility
- Includes practical integration of voice control systems like Alexa, a unique applied skill
- Project-based curriculum culminates in a capstone for demonstrating learned competencies
- Strong value proposition with a certificate of completion at a low promotional price point
Things to consider
- Requires prerequisite basic ROS 2 knowledge, creating a barrier for absolute beginners
- Solely video-based lecture format may lack structured hands-on coding challenges
- Advanced focus on manipulators assumes learner interest specifically in robotic arms, not other robot types
Who should take Robotics and ROS 2 - Learn by Doing! Manipulators?
This course is an ideal fit for robotics engineers, developers, or advanced students who already understand ROS 2 fundamentals and want to specialize in manipulator control. It suits those seeking a structured, project-based path to build a complete robotic arm system with MoveIt and explore advanced integrations like voice control, using the provided video lectures as a guide for their own hardware or simulation work.
Course curriculum for Robotics and ROS 2 - Learn by Doing! Manipulators
Robotics and ROS 2 - Learn by Doing! Manipulators at a glance
| Provider | Udemy |
|---|---|
| Instructor | Antonio Brandi |
| Level | Intermediate |
| Time to complete | 21.5 hours video |
| Pricing | $12.99 |
| Certificate | Certificate |
| Prerequisites | Basic ROS 2 knowledge |
Fit
Best for
Not ideal for
The bottom line on Robotics and ROS 2 - Learn by Doing! Manipulators
Robotics and ROS 2 - Learn by Doing! Manipulators delivers on its promise of deep, practical training in building ROS2-based manipulators for learners with the required foundation. Its project scope and unique integrations offer strong career-relevant skills, though its format and prerequisites mean it's not a starting point for novices.
Robotics and ROS 2 - Learn by Doing! Manipulators: frequently asked questions
What exactly will I learn to build in the Robotics and ROS 2 - Learn by Doing! Manipulators course?
You will learn to create a complete ROS2 manipulator robot from scratch. The curriculum guides you through building and controlling robotic arms with MoveIt, applied robot control techniques, and integrating voice control systems like Alexa to command your robot.
What level of prior knowledge do I need before taking this robotics course?
The course requires basic ROS 2 knowledge. It is not designed for complete beginners in ROS, but for those ready to apply foundational ROS 2 concepts to the specific, advanced domain of building and programming manipulator robots.
Does the Udemy course offer a certificate and is the price worth it?
Yes, the course provides a certificate of completion. At its typical promotional price of $12.99 for over 21 hours of specialized robotics content, it represents considerable value for learners seeking credentialed, project-based skills in ROS 2 and manipulator control.
How does this manipulator course compare to a general ROS 2 introductory course?
This course is not a ROS 2 introduction; it's a specialized application. While a general course teaches ROS 2 fundamentals, this course assumes that knowledge and focuses exclusively on using ROS 2, Python, C++, and MoveIt to construct and control robotic manipulator arms from the ground up.
How can I get the most practical value from this course on robotic arms?
To maximize value, ensure you meet the basic ROS 2 prerequisite and have a development environment ready to code along. The course is designed for 'learning by doing,' so actively building the projects, especially the capstone, is crucial for translating video lectures into hands-on skills.