English

Flightmare: A Flexible Quadrotor Simulator

Robotics 2021-05-11 v2 Artificial Intelligence

Abstract

State-of-the-art quadrotor simulators have a rigid and highly-specialized structure: either are they really fast, physically accurate, or photo-realistic. In this work, we propose a novel quadrotor simulator: Flightmare. 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 of each other. This makes our simulator extremely fast: rendering achieves speeds of up to 230 Hz, while physics simulation of up to 200,000 Hz on a laptop. In addition, 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) integration with a virtual-reality headset for interaction with the simulated environment. We demonstrate the flexibility of Flightmare by using it for two different robotic tasks: quadrotor control using deep reinforcement learning and collision-free path planning in a complex 3D environment.

Keywords

Cite

@article{arxiv.2009.00563,
  title  = {Flightmare: A Flexible Quadrotor Simulator},
  author = {Yunlong Song and Selim Naji and Elia Kaufmann and Antonio Loquercio and Davide Scaramuzza},
  journal= {arXiv preprint arXiv:2009.00563},
  year   = {2021}
}

Comments

Accepted for publication at 4th Conference on Robot Learning (CoRL), Cambridge MA, USA. 2020

R2 v1 2026-06-23T18:14:43.216Z