Toward a Generic Model for Autonomy Levels for Unmanned Systems (ALFUS)

Abstract

Unmanned systems (UMSs) have been deployed to military and civilian operations. UMSs vary widely in their capabilities and purposes. It would be beneficial to have a set of widely recognized standard definitions on the capabilities of the UMSs. Efforts have begun in various organizations in defining autonomy levels for unmanned systems. As part of this ongoing research, we are attempting to define a generic model for the autonomy levels for unmanned systems (ALFUS). Our intention is for this model to be used to derive mission-specific ALFUS. In this paper, we describe autonomy levels in three tiers, subsystem, system, and system of systems (SoS). Within each tier, the levels of autonomy are further divided with the factors of task complexity, environmental complexity, human involvement, and a set of quality factors. The work presented is a snapshot of an ongoing process.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA515323

Entities

People

  • Elena Messina
  • Hui-min Huang
  • James Albus

Organizations

  • National Institute of Standards and Technology

Tags

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Systems
  • Autonomy
  • Cognitive Systems Engineering
  • Collision Avoidance
  • Control Systems
  • Engineering
  • Environment
  • Guidance
  • Intelligent Systems
  • Low Resolution
  • Remotely Piloted Vehicles
  • Standards
  • Unmanned
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Vehicles

Readers

  • Computational Modeling and Simulation
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction