h2r.cs.brown.edu/million-object-challenge

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      Million Object Challenge | Humans To Robots Laboratory
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      Most robots can't pick up most objects most of the time. We aim to change that by using a Baxter robot to collect a corpus of manipulation experiences for one million real-world objects. The field of object detection and recognition is driven by annotated corpora (e.g., ImageNet) which researchers use to train and test models. These corpora consist of photos
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