Automation Architecture for Single Operator, Multiple UAV Command and Control

Abstract

In light of the Office of the Secretary Defense's Roadmap for unmanned aircraft systems (UAS), there is a critical need for research examining human interaction with heterogeneous unmanned vehicles. The OSD Roadmap clearly delineates the need to investigate the "appropriate conditions and requirements under which a single pilot would be allowed to control multiple airborne UA (unmanned aircraft) simultaneously." Toward this end, in this paper, we provide a meta-analysis of research studies across unmanned aerial and ground vehicle domains that investigated single operator control of multiple vehicles. As a result, a hierarchical control model for single operator control of multiple unmanned vehicles (UV) is proposed that demonstrates those requirements that will need to be met for operator cognitive support of multiple UV control, with an emphasis on the introduction of higher levels of autonomy. The challenge in achieving effective management of multiple UV systems in the future is not only to determine whether automation can be used to improve human and system performance, but how and to what degree across hierarchical control loops, as well as determining the types of decision support that will be needed by operators given the high-workload environment. We address when and how increasing levels of automation should be incorporated in multiple UV systems and discuss the impact on not only human performance, but more importantly, on system performance.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA478338

Entities

People

  • M. L. Cummings
  • P. J. Mitchell
  • S. Bruni
  • S. Mercier

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Automation
  • Cognitive Workload
  • Command And Control
  • Command And Control Systems
  • Control Systems
  • Human Factors Engineering
  • Human Supervisory Control
  • Human-Machine Systems
  • Military Research
  • Network Centric Warfare
  • Psychology
  • Situational Awareness
  • Supervisory Control
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles

Readers

  • 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
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control