ROS 2 Artificial Intelligent Robot using Raspberry PI

Utilize Tensorflow and OpenCV for Computer Vision on Robot Operating System enabled Robots using Micro Controllers
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ROS 2 Artificial Intelligent Robot using Raspberry PI
1 318
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7 hours
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Jul 2024
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$54.99
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Why take this course?

🚀 Master ROS 2 with Artificial Intelligence on Raspberry Pi! 🤖✨

Course Updated: ROS Kinetic to the latest ROS 2 Foxy - we've updated everything, from projects to explanations, to ensure you get the most up-to-date learning experience! 📚✨

Course Workflow: This hands-on course is centered around building a 2-wheel differential drive robot with a caster, utilizing 3D printed parts for durability and flexibility. We'll cover all the electronics, ensuring you understand each connection for a robust setup. 🛠️🤖

Raspberry Pi 4: The powerhouse of our robot! We'll dive deep into ROS 2 Foxy and Humble on Raspberry Pi, setting up your workspace, and enabling WiFi communication between your laptop and Raspberry Pi. 🍓💻

Key Sections:

  1. ROS2 Workspace Raspberry pi Setup - Laying the foundation for your ROS 2 environment on Raspberry Pi.
  2. Robot Building and Driving with Joystick - Assembling your robot and learning to control it in real-time.
  3. QR Maze Solving using OpenCV - Implementing computer vision algorithms to navigate through a maze guided by QR codes.
  4. Line Following Real and Simulation Robot - Mastering line following techniques both in the real world and with simulation for robust learning.
  5. AI Surveillance Robot using Tensorflow Lite - Building an AI-powered surveillance robot that can recognize objects or faces.

Outcomes After this Course:

  • Create a custom workspace tailored to your projects.
  • Develop your own Python packages, ensuring modularity and reusability of your code.
  • Craft launch files to manage ROS nodes as needed.
  • Build a custom mobile robot with integrated ROS 2 and simulation capabilities.
  • Get hands-on experience with RVIZ and Gazebo simulations, essential for testing and refining your robots.
  • Integrate computer vision using OPENCV within your ROS 2 based applications.
  • Implement deep neural networks into your ROS 2 nodes to add intelligent behaviors to your robot.

Software Requirements:

  • Ubuntu 22.04 for a smooth development experience.
  • ROS 2 Foxy, the latest version to ensure compatibility and support.
  • A motivated mind ready to tackle a large-scale programming project! 🚀

🔗 Explore this course on GitHub before you buy! Get a glimpse of what's in store for your learning journey with our updated projects and clear, step-by-step explanations. Dive into the world of ROS 2 AI robots with Raspberry Pi today! 🧵🎉

Enroll now and take your first step towards becoming an expert in integrating Artificial Intelligence with Robot Operating System (ROS) on Raspberry Pi micro-controllers! 🤓🚀

Course Gallery

ROS 2 Artificial Intelligent Robot using Raspberry PI – Screenshot 1
Screenshot 1ROS 2 Artificial Intelligent Robot using Raspberry PI
ROS 2 Artificial Intelligent Robot using Raspberry PI – Screenshot 2
Screenshot 2ROS 2 Artificial Intelligent Robot using Raspberry PI
ROS 2 Artificial Intelligent Robot using Raspberry PI – Screenshot 3
Screenshot 3ROS 2 Artificial Intelligent Robot using Raspberry PI
ROS 2 Artificial Intelligent Robot using Raspberry PI – Screenshot 4
Screenshot 4ROS 2 Artificial Intelligent Robot using Raspberry PI

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2265374
udemy ID
11/03/2019
course created date
22/11/2019
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