{"url":"/dataset/plasticinelab","name":"PlasticineLab","full_name":null,"description_markdown":"PasticineLab is a differentiable physics benchmark, which includes a diverse collection of soft body manipulation tasks. In each task, the agent uses manipulators to deform the plasticine into the desired configuration. The underlying physics engine supports differentiable elastic and plastic deformation using the DiffTaichi system, posing many under-explored challenges to robotic agents.","description_withheld":null,"homepage":"http://plasticinelab.csail.mit.edu","introduced_date":"2021-04-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/plasticinelab-a-soft-body-manipulation-1","title":"PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics","first_author":"Zhiao Huang","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Environment","url":"/datasets/modality/environment"}],"tasks":[{"name":"Physical Simulations","url":"/task/physical-simulations","datasets_with_task":"/datasets/task/physical-simulations"}],"languages":[],"variants":["PlasticineLab"],"data_loaders":[],"num_papers_in_archive":16,"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":"2026-09-25T09:33:49+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."}