Supervisory Control of Unmanned Vehicles

Abstract

The purpose of this report is to review research pertaining to the limitations and advantages of supervisory control for unmanned vehicle (UV) systems. We identify and discuss results showing technologies that mitigate observed problems, such as specialized interfaces and adaptive systems. In the report, we first present an overview of definitions and important terms of supervisory control and human-agent teaming. We then discuss human performance issues in supervisory control of UVs with regard to operator multitasking performance, trust in automation, situation awareness, and operator workload. In the following sections, we review research findings for specific areas of supervisory control of unmanned air vehicles, unmanned ground vehicles, and heterogeneous UVs (i.e., using different types of UVs in the same mission). In the last section, we review innovative techniques and technologies designed to enhance operator performance and reduce potential performance degradations identified in the literature.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2010
Accession Number
ADA522283

Entities

People

  • Jessie Y. Chen
  • Michael J. Barnes
  • Michelle Harper-sciarini

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Systems
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Machine Interaction
  • Human-Robot Interaction
  • Psychology
  • Situational Awareness
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Fields of Study

  • Computer science

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