AAAI 2023technical8 citations
Augmenting Flight Training with AI to Efficiently Train Pilots
Michael Guevarra, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew Taylor, Alan Tay
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.
BibTeX
@article{Guevarra_Das_Wayllace_Demmans Epp_Taylor_Tay_2024, title={Augmenting Flight Training with AI to Efficiently Train Pilots}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/27071}, DOI={10.1609/aaai.v37i13.27071}, abstractNote={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.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Guevarra, Michael and Das, Srijita and Wayllace, Christabel and Demmans Epp, Carrie and Taylor, Matthew and Tay, Alan}, year={2024}, month={Jul.}, pages={16437-16439} }