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Figuring out where objects are in a robot's view can be tough, especially when hands get in the way. Researchers tackled this problem with a new deep learning system. It cleverly handles tricky situations like hands blocking the view. The system uses a new way to combine different types of data and better estimates object positions, even with hand interference. It's a significant improvement!
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