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ROS with Real Robot using Raspberry-PI and OpenCV

Learn how to Use OpenCV Robot Operating System. Control Robots in Simulation With OpenCV and Raspberry PI

Robots are now part of our daily life. To understand robotics process and robotics programming we have to use a Robot Operating System which is ROS.

What you’ll learn

Course Content

Requirements

Robots are now part of our daily life. To understand robotics process and robotics programming we have to use a Robot Operating System which is ROS.

So if you are interested in learning the fast growing open source framework with OPENCV then this course is for you .

–About this Course —

 

This Course is for Who wants to:

0 – 4 Awesome OpenCV ROS Projects

1 –  Integrate OpenCV into ROS

2 –  Build Image Processing Projects with Simulated Robots

3 – Learn Gazebo simulation workflow

 

This course contains all the concepts you need for simulating your robots with Image Processing capabilities .

We will discussing it theoretically  first and then start moving towards practical implementation .

You can think of the course as a intermediate course of robotics school. Where you get theoretical basis and then you Start doing  projects .

Although this course does not complete ALL robotics algorithms but you get the understanding of using the ROS framework ,its pre build packages and then you can easily make your own projects easy and simple  🙂

After this course you will feel to have quite a lot grip on ROS simulation on gazebo and Integration with OpenCV then you will be able to simulate all real world projects you want to complete in a simulation before practicality implementing

 

 

If you are new to ROS I have some thing special for YOU !
Here is a learning path so you get a streamlined information through my courses .

1:Ultimate guide to Simulate and implement

2: Mastering Mobile Robots

3:Slam and autonomous driving with Custom Robot

4:Understanding Math behind Robotic arm

5:Build Robotic arm with gazebo

6:Autonomous Drone

7:Real Robot Using OpenCV

8:Autonomous Driving and Path planning