{"url":"/dataset/omnipush","name":"Omnipush","full_name":null,"description_markdown":"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.\r\nThe 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.","description_withheld":null,"homepage":"http://web.mit.edu/mcube/omnipush-dataset/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Omnipush"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}