Augmenting Flight Training with AI to Efficiently Train Pilots

Authors

  • Michael Guevarra Delphi Technology Corp University of Manitoba
  • Srijita Das University of Alberta Alberta Machine Intelligence Institute (Amii)
  • Christabel Wayllace University of Alberta Alberta Machine Intelligence Institute (Amii)
  • Carrie Demmans Epp University of Alberta
  • Matthew Taylor University of Alberta Alberta Machine Intelligence Institute (Amii)
  • Alan Tay Delphi Technology Corp

DOI:

https://doi.org/10.1609/aaai.v37i13.27071

Keywords:

Behavior Cloning, Teaching Humans, Smart Tutor, Application

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.
AAAI-23 Proceedings Cover

Downloads

Published

2024-07-15

How to Cite

Guevarra, M., Das, S., Wayllace, C., Demmans Epp, C., Taylor, M., & Tay, A. (2024). Augmenting Flight Training with AI to Efficiently Train Pilots. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16437-16439. https://doi.org/10.1609/aaai.v37i13.27071

Issue

Vol. 37 No. 13: AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations

Section

Demonstrations