Defining the Levels of Adjustable Autonomy: A Means of Improving Resilience in an Unmanned Aerial System

Abstract

This thesis investigates how to design in different levels of autonomy to improve the resilience of an unmanned aerial system (UAS) by applying the Function-specific Level of Autonomy Tool (FLOAAT) developed by NASA. This tool helps to define the levels of autonomy human-operators are comfortable with as well as assists designers in understanding how to design in that level of autonomy. The thesis begins by reviewing past literature about resilience in engineered systems, defining terms pertaining to autonomy, introduces the concept of adjustable autonomy, and reviews the development supervisory control levels that define adjustable autonomy. It broadens the research that NASA performed and applies the tool to UAS functions. The extension of this thesis would lead to a more unified approach to defining levels of autonomy that can be adjusted for control of autonomous systems, and the development of components of software architecture that lead to greater systems resilience through integration of the human-operator in a way that is trusted. This effort is intended to create a foundation for human-centered automation to accommodate human-operator trust properly.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2014
Accession Number
ADA619470

Entities

People

  • Ellen M. Chang

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Systems
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Engineering
  • Engineers
  • Ground Control Stations
  • Human Factors Engineering
  • Human Supervisory Control
  • Psychology
  • Software Design
  • Supervisory Control
  • Systems Engineering
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction