Domain randomization with ROS, Gazebo and Fetch | part 1 Open Class
What you will learn in this Open Class
In this class, we are going to see how to reproduce the results of the famous paper "Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World" with Fetch robot, using ROS and Gazebo simulation.
You will learn:
- What is domain randomization
- How to implement it in Gazebo using a world plugin
- How the whole pipeline works: from training the vision system to making the robot grasp the spam object
- How to create the dataset to train the visual system using simulation images