LGHCOct 13, 2022

Augmenting Flight Training with AI to Efficiently Train Pilots

arXiv:2210.06683v111 citationsh-index: 43
Originality Synthesis-oriented
AI Analysis

This addresses pilot training efficiency, but it is incremental as it applies existing AI methods to a specific domain.

The paper tackles the problem of training pilots by developing an AI-based system that learns maneuvers from instructors and provides feedback to students, focusing on straight and level flying with automated formative feedback.

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.

Foundations

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