{"work":{"id":"d616d4ba-7713-4e3e-8c9e-dfebbb8f1abf","openalex_id":null,"doi":null,"arxiv_id":"2009.12293","raw_key":null,"title":"robosuite: A Modular Simulation Framework and Benchmark for Robot Learning","authors":null,"authors_text":"Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Mart\\'in-Mart\\'in, Abhishek Joshi, Kevin Lin","year":2020,"venue":"cs.RO","abstract":"robosuite is a simulation framework for robot learning powered by the MuJoCo physics engine. It offers a modular design for creating robotic tasks as well as a suite of benchmark environments for reproducible research. This paper discusses the key system modules and the benchmark environments of our new release robosuite v1.5.","external_url":"https://arxiv.org/abs/2009.12293","cited_by_count":null,"metadata_source":"pith","metadata_fetched_at":"2026-05-25T05:15:22.425422+00:00","pith_arxiv_id":"2009.12293","created_at":"2026-05-09T06:30:42.741895+00:00","updated_at":"2026-05-25T05:15:22.425422+00:00","title_quality_ok":true,"display_title":"robosuite: A Modular Simulation Framework and Benchmark for Robot Learning","render_title":"robosuite: A Modular Simulation Framework and Benchmark for Robot Learning"},"hub":{"state":{"work_id":"d616d4ba-7713-4e3e-8c9e-dfebbb8f1abf","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":54,"external_cited_by_count":null,"distinct_field_count":4,"first_pith_cited_at":"2021-08-06T20:48:30+00:00","last_pith_cited_at":"2026-05-22T11:39:49+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-05-31T11:02:30.575639+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"background","n":9},{"context_role":"dataset","n":6},{"context_role":"method","n":2},{"context_role":"baseline","n":1},{"context_role":"other","n":1}],"polarity_counts":[{"context_polarity":"background","n":11},{"context_polarity":"use_dataset","n":4},{"context_polarity":"use_method","n":2},{"context_polarity":"baseline","n":1},{"context_polarity":"unclear","n":1}],"runs":{},"summary":{},"graph":{},"authors":[]}}