Create a ROS2 based Self-Driving robot and learn about Robot Localization and Sensor Fusion using Kalman Filters
What you will learn
Create a Real Self-Driving Robot
Mastering ROS2, the last version of the Robot Operating System
Implement Sensor Fusion algorithms
Simulate a Self-Driving robot in Gazebo
Programming Arduino for Robotics Applications
Use the ros2_control library
Develop a Controller
Odometry and Localization
Kalman Filters and Extended Kalman Filter
Probability Theory
Differential Kinematics
Create a Digital Twin of a Self-Driving Robot
Master the TF2 library
Why take this course?
🚀 Course Headline:
Master Self-Driving Technology with ROS 2 – Dive into Odometry & Control! 🤖🚗
Course Description:
Are you ready to embark on an exhilarating journey into the world of self-driving vehicles and robotics? With “Self-Driving and ROS 2 – Learn by Doing!” you’ll transform from a curious learner into a confident practitioner in autonomous navigation and sensor fusion. This course, led by the expert instructor Antonio Brandici, is your ticket to mastering Robot Operating System (ROS) version 2, the cutting-edge framework for robot perception, localization, and decision-making.
🚧 What You’ll Learn:
- The fundamental principles of autonomous navigation in real-world applications.
- How to implement Odometry & Localization with a practical approach using Kalman Filters.
- The intricacies of ROS 2, the most advanced version of ROS, through hands-on experience.
🛠️ Course Philosophy:
“Learning is an active process. We learn by doing – only knowledge that is used sticks in your mind.” – Dale Carnegie
We believe in learning by doing. This course follows a structured approach, with each section broken down into three key parts:
- Theoretical Foundations: Gain a solid understanding of the concepts and functionalities within ROS 2.
- Practical Application: Apply your knowledge in simple, controlled examples to reinforce learning.
- Real-World Integration: Bring your skills to life by integrating what you’ve learned into building and programming a real self-driving robot!
🧠 Skill Enhancement:
- Develop your programming prowess using both Python and C++, the languages most in-demand by robotics professionals.
- Choose to focus on one language or become proficient in both, enhancing your versatility as a Robotics Software Developer.
🔍 Course Highlights:
- Engage with industry-relevant projects that will prepare you for the challenges of real-world robotics applications.
- Follow a Learn by Doing approach to solidify your understanding and application of ROS 2 concepts.
- Tackle topics like sensor fusion, localization, and autonomous navigation from a practical standpoint.
🎓 Why Choose This Course?
- Gain a deep understanding of the technologies behind self-driving robots and ROS 2, opening up a world of opportunities in robotics.
- Learn from the comfort of your home or on the go, at your own pace.
- Join a community of like-minded learners and professionals who are as passionate about robotics as you are!
Enroll now to turn your fascination with self-driving technology into expertise with ROS 2. This course is your chance to lead the future in autonomous navigation and beyond! 🛣️🚀