{"url":"/dataset/flightmare-simulator","name":"Flightmare Simulator","full_name":null,"description_markdown":"Flightmare is composed of two main components: a configurable rendering engine built on Unity and a flexible physics engine for dynamics simulation. Those two components are totally decoupled and can run independently from each other. Flightmare comes with several desirable features: (i) a large multi-modal sensor suite, including an interface to extract the 3D point-cloud of the scene; (ii) an API for reinforcement learning which can simulate hundreds of quadrotors in parallel; and (iii) an integration with a virtual-reality headset for interaction with the simulated environment. Flightmare can be used for various applications, including path-planning, reinforcement learning, visual-inertial odometry, deep learning, human-robot interaction, etc.\r\n\r\nSource: [Flightmare Simulator](https://uzh-rpg.github.io/flightmare/)","description_withheld":null,"homepage":"https://uzh-rpg.github.io/flightmare/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/flightmare-a-flexible-quadrotor-simulator","title":"Flightmare: A Flexible Quadrotor Simulator","first_author":"Yunlong Song","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Flightmare Simulator"],"data_loaders":[],"num_papers_in_archive":6,"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."}