Omnipush is a dataset with high variety of planar pushing behavior. The dataset contains 250 pushes for each of 250 objects, all recorded with RGB-D and high precision state tracking. The objects are constructed to explore key factors that affect pushing --the shape of the object and its mass distribution-- which have not been broadly explored in previous datasets and allow to study generalization in model learning.
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