{
  "id": 9327,
  "url": "https://doi.org/10.1038/s41586-023-06419-4",
  "title": "Champion-level drone racing using deep reinforcement learning",
  "summary": "Abstract First-person view (FPV) drone racing is a televised sport in which professional competitors pilot high-speed aircraft through a 3D circuit. Each pilot sees the environment from the perspective of their drone by means of video streamed from an onboard camera. Reaching the level of professional pilots with an autonomous drone is challenging because the robot needs to fly at its physical limits while estimating its speed and location in the circuit exclusively from onboard sensors 1 . Here",
  "authors": "Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2023-08-30T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:54.149Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9327",
  "original_url": "https://doi.org/10.1038/s41586-023-06419-4",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}