Self Driving and ROS 2 – Learn by Doing! Odometry & Control



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:

  1. Theoretical Foundations: Gain a solid understanding of the concepts and functionalities within ROS 2.
  2. Practical Application: Apply your knowledge in simple, controlled examples to reinforce learning.
  3. 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! 🛣️🚀


Ads Blocker Image Powered by Code Help Pro

Ads Blocker Detected!!!

We have detected that you are using extensions to block ads. Please support us by disabling these ads blocker.

Powered By
Best Wordpress Adblock Detecting Plugin | CHP Adblock

Check Today's 30+ Free Courses on Telegram!

X