ML Anthology

Augmenting Flight Training with AI to Efficiently Train Pilots

Michael Guevarra, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, Alan Tay
AAAI 2023 pp. 16437-16439
doi:10.1609/AAAI.V37I13.27071 /aaai/2023/guevarra2023aaai-augmenting/

Abstract

We propose an AI-based pilot trainer to help students learn how to fly aircraft. First, an AI agent uses behavioral cloning to learn flying maneuvers from qualified flight instructors. Later, the system uses the agent's decisions to detect errors made by students and provide feedback to help students correct their errors. This paper presents an instantiation of the pilot trainer. We focus on teaching straight and level flying maneuvers by automatically providing formative feedback to the human student.

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Cite

Text

Guevarra et al. "Augmenting Flight Training with AI to Efficiently Train Pilots." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.27071

Markdown

[Guevarra et al. "Augmenting Flight Training with AI to Efficiently Train Pilots." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/guevarra2023aaai-augmenting/) doi:10.1609/AAAI.V37I13.27071

BibTeX

@inproceedings{guevarra2023aaai-augmenting,
  title     = {{Augmenting Flight Training with AI to Efficiently Train Pilots}},
  author    = {Guevarra, Michael and Das, Srijita and Wayllace, Christabel and Epp, Carrie Demmans and Taylor, Matthew E. and Tay, Alan},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {16437-16439},
  doi       = {10.1609/AAAI.V37I13.27071},
  url       = {https://mlanthology.org/aaai/2023/guevarra2023aaai-augmenting/}
}