# uzh-rpg/flightmare

An Open Flexible Quadrotor Simulator

Repository: https://github.com/uzh-rpg/flightmare
Canonical: https://ross.abutalabs.com/products/flightmare
Homepage: https://uzh-rpg.github.io/flightmare/
Language: C++
License: NOASSERTION
License Family: other
Last push: 2024-06-14T15:36:57+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2241, "days_push": 810, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1406, forks 401 (observed 2026-08-28T04:04:38.336643+00:00)

## What it is
Flightmare is a modular quadrotor simulator from the UZH Robotics and Perception Group, composed of a decoupled Unity-based rendering engine and a flexible physics engine that can run independently. It offers a multi-modal sensor suite, parallel multi-agent simulation with an OpenAI Gym-style API, ROS integration, and VR headset support.

## Use cases
- simulate quadrotor flight for reinforcement learning research
- train drone control policies with hundreds of parallel agents
- generate synthetic RGB, depth, and segmentation data for deep learning
- test visual-inertial odometry and SLAM algorithms
- develop and evaluate path-planning and model-based control for drones
- run human-robot interaction experiments in virtual reality

## When to choose
- you need a flexible, modular drone simulator with decoupled rendering and physics
- you want OpenAI Gym-style environments for quadrotor RL
- you need photo-realistic sensor simulation (RGB, depth, segmentation, point clouds) for drones
- you work with ROS and want an alternative to Gazebo-based MAV simulators

## When to avoid
- you need a simulator for vehicles other than quadrotors
- you require a actively developed project with frequent updates and support
- you need a turnkey simulator without Linux/ROS setup effort
- you need guaranteed licensing clarity beyond the MIT-labeled code

## Facets
- artifact type: application
- maturity: maintenance
- function: simulation, machine-learning, reinforcement-learning, robotics, image-processing, graphics
- domain: robotics, simulation, machine-learning, reinforcement-learning, autonomous-vehicles
- platform: cpp, python
- tags: quadrotor, drone-simulator, unity-rendering, physics-engine, ros, openai-gym, visual-inertial-odometry, virtual-reality, multi-agent, linux, docker

## Member repositories
- uzh-rpg/flightmare (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:38.336643+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:38:44.886270+00:00, confidence not recorded.
  - readme: https://github.com/uzh-rpg/flightmare (fetched 2026-08-28T04:04:38.336643+00:00, sha 19c8fc21c224)
  - homepage: https://uzh-rpg.github.io/flightmare/ (fetched 2026-08-29T11:52:24.830956+00:00, sha f8847f7a857e)
- Data as of 2026-08-30T08:39:29.467469+00:00.