{"url":"/dataset/interactive-gibson-environment","name":"Interactive Gibson Environment","full_name":null,"description_markdown":"Interactive Gibson is a comprehensive benchmark for training and evaluating Interactive Navigation: robot navigation strategies where physical interaction with objects is allowed and even encouraged to accomplish a task. The benchmark has two main components:\r\n\r\n* The **Interactive Gibson Environment**,  which simulates high fidelity visuals of indoor scenes, and high fidelity physical dynamics of the robot and common objects found in these scenes.\r\n* set of Interactive Navigation metrics which allows one to study the interplay between navigation and physical simulation.","description_withheld":null,"homepage":"https://sites.google.com/view/interactivegibsonenv","introduced_date":"2019-10-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/interactive-gibson-a-benchmark-for","title":"Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments","first_author":"Fei Xia","url":null},"license":null,"modalities":[{"name":"Environment","url":"/datasets/modality/environment"}],"tasks":[],"languages":[],"variants":["Interactive Gibson Environment"],"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."}