Augmenting Flight Training with AI to Efficiently Train Pilots
Michael Guevarra, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. 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.
Topics & Concepts
TrainerFormative assessmentFocus (optics)Computer scienceAeronauticsFlight trainingTraining (meteorology)SimulationFlight simulatorHuman–computer interactionMultimediaEngineeringPsychologyMathematics educationPhysicsMeteorologyProgramming languageOpticsAI-based Problem Solving and Planning