English

Augmenting Flight Training with AI to Efficiently Train Pilots

Machine Learning 2022-10-14 v1 Human-Computer Interaction

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.

Keywords

Cite

@article{arxiv.2210.06683,
  title  = {Augmenting Flight Training with AI to Efficiently Train Pilots},
  author = {Michael Guevarra and Srijita Das and Christabel Wayllace and Carrie Demmans Epp and Matthew E. Taylor and Alan Tay},
  journal= {arXiv preprint arXiv:2210.06683},
  year   = {2022}
}

Comments

3 pages, 3 figures, submitted to AAAI-23 Demonstration Program

R2 v1 2026-06-28T03:30:28.138Z