Domain Randomization with ROS and Gazebo simulation
The Construct Robotics Institute 11:23
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Final result we have obtained by applying domain randomization with a Fetch Gazebo simulation.
We have replicated the whole system required to do it: from the plugin to launch object distractors, to the grasping routine, including the deep learning training
We are going to release this code as a ROSject (www.rosjects.com) ready to be executed with a notebook with explanations about how to use it.
Comment below if you want to have the ROSject
We have replicated the whole system required to do it: from the plugin to launch object distractors, to the grasping routine, including the deep learning training
We are going to release this code as a ROSject (www.rosjects.com) ready to be executed with a notebook with explanations about how to use it.
Comment below if you want to have the ROSject
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