Teaching robots how to differentiate between different types of garbage is not always straightforward. This video from Dimitrios Kanoulas shows how a mobile manipulator with deep learning and whole body control can collect and sort garbage. It uses a deep neural network (GarbageNet) to detect different recyclable types of garbage.
More like this ➡️ here
Garbage Collection and Sorting with a Mobile Manipulator using Deep Learning and Whole-Body Control
Researchers used “a grasp localization method to identify the grasp poses of garbage that need to be collected from the ground.” The above video shows it in action.
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