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Aerospace Cogntiive Engineering Lab (ACEL) Automation Enabled Pilot (AEP) SeriesA gap between the pace of development of aircraft automation and methods to assure the safety of the capabilities in operation has been recently identified as aircraft regulators are facing an unprecedented diversity of applicant aircraft configurations in aviation segments generally referred to as Advanced Air Mobility (AAM).
This presentation describes investigative work referred to as the Automation Enabled Pilot (AEP) research. The AEP series aims to develop evaluation methods that accommodate a range of automated aircraft systems (i.e., pilot on-onboard, remotely operated, or autonomous), a diversity of aircraft configurations (i.e. fixed wing, tilt-rotor, tilt-wing, lift plus cruise), and novel operational concepts as part of a series of research activities.
Document ID
20250003803
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Michael Feary
(Ames Research Center Mountain View, United States)
John Kaneshige
(Ames Research Center Mountain View, United States)
Kimberlee Shish
(Ames Research Center Mountain View, United States)
Loran Haworth
(San Jose State University San Jose, United States)
Amber Villa
(Ames Research Center Mountain View, United States)
Thomas Lombaerts
(KBR Wyle)
Kevin Monk
(Ames Research Center Mountain View, United States)
Nelson Iwai
(Artic Slope Regional Corporation Barrow, Alaska)
John Archdeacon
(Artic Slope Regional Corporation Barrow, Alaska)
Mieczyslaw Steglinski
(KBR (United States) Houston, Texas, United States)
Barth A Baron Jr
(San Jose State University San Jose, United States)
Date Acquired
April 16, 2025
Subject Category
Aircraft Stability and Control
Aeronautics (General)
Meeting Information
Meeting: NASA Human Systems Integration/Office of Naval Research Collaboration Meeting
Location: Mountain View, CA
Country: US
Start Date: March 27, 2025
Sponsors: Ames Research Center
Funding Number(s)
WBS: 395872.04.40.01.02
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
training
human-automation interaction
eVTOL
AAM
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