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Massachusetts Institute of Technology

Systems theoretic process analysis Applied to manned-unmanned teaming

Abstract

dc:description.abstract

The Air Force Research Laboratory (AFRL) has identified autonomy as one of three game changing technologies for the future, along with hypersonic vehicles and directed energy weapons. One common application of autonomy that has been explored by numerous laboratories and research centers internationally is an unmanned aerial vehicle (UAV). AFRL is hoping to develop a UAV that will act as wingman in the traditional role of fighter pilots. Autonomous UAVs have several advantages over manned aircraft. First, they can operate in extreme environments with abnormal conditions where traditional fighter aircraft cannot maneuver. Second, autonomous UAVs can operate without human input where boring tasks like searching or monitoring would fall short due to lack of situational awareness. Finally, UAVs eliminate the risk of having Air Force personnel within firing range of an enemy. However, manned-unmanned teaming (MUM-T) is a relatively new concept that has limited operational use. One of the challenges is designing safety into a system where automation can make decisions. The growth of MUM-T operations is primarily limited due to skeptical concerns about its safety and security. The Air Force maintains large amounts of classified data, and that information is transferred across several networks. If an enemy gained access to imagery or communications, a mission would fail and the enemy could prepare a counterattack. Prior attempts to perform a safety or security analysis of an autonomous UAV have focused on reliability as opposed to safety. FMEA and FTA calculate the probability of a component failure which is different from preventing a hazard. By following STPA, the requirements generated are directly traced back to hazards and losses, and the analysis will include interactions among components as opposed to strictly component failures.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Robertson, Jeremiah(Jeremiah Reed)
Advisor dc:contributor.advisor
  • Nancy G. Leveson.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/122516
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/122516

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Robertson, Jeremiah(Jeremiah Reed). Systems theoretic process analysis Applied to manned-unmanned teaming. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122516