| title | HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second |
|---|---|
| authors | Jonas Eschmann, Giuseppe Loianno |
| date | 2026-10-20 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2610.28950 |
| affiliation | RLtools |
| upvotes | 5 (Hugging Face Daily Papers, 2026-11-01) |
| links | abs pdf hf |
| abstract | We present HyperDrone, an extremely fast quadrotor simulator focused on high-performance batch rendering that is more than 20x faster than existing state-of-the-art batch quadrotor simulators. HyperDrone combines highly optimized multirotor dynamics with HyperLux, a new ray-tracing engine that supports Nvidia OptiX, Vulkan, Apple Metal and WebGPU backends that takes full advantage of modern ray-tracing hardware, capable of running both components entirely on the GPU. HyperLux renders RGB, depth, semantic/instance segmentation, surface normals and optical flow observations at configurable levels of fidelity, including reflections, realistic lighting, motion blur, anti-aliasing, and Physically Based Rendering (PBR). Even in the highest-fidelity settings, HyperLux achieves millions of Frames Per Second (FPS) on consumer-grade GPUs while rendering realistic 3D scenes. We demonstrate the merits of HyperDrone by training a vision-based yaw-control policy purely in simulation and transferring it to a real small-scale quadrotor (Crazyflie) with a camera, running completely onboard. |
cite
@misc{eschmann2026hyperdrone,
title={HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second},
author={Jonas Eschmann and Giuseppe Loianno},
year={2026},
eprint={2610.28950},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2610.28950}
}