Humans Teaching Learning Machines: Apprentice Systems and Shared Control of Military Vehicles

Abstract

Many military applications will benefit from the use of unmanned vehicles. However communication realities have limited the effectiveness of the current direct tele-operated vehicles. One solution is to increase the on-board autonomy of the vehicle. While this does reduce the communication requirements, the level of machine intelligence is not sufficient to insure operation in extreme situations. Proposed is a shared control solution that is a synergistic partnership of on-board autonomy and the superior cognitive capabilities of the remote human operator. This paper describes work at the Defence Research and Development Canada - Suffield (DRDC-Suffield) in tele-operated vehicles, autonomous control systems and discusses the issues and benefits of shared control of military vehicles.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2003
Accession Number
ADA422263

Entities

People

  • Bruce L. Digney

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Control Systems
  • Information Operations
  • Learning
  • Learning Machines
  • Military Applications
  • Military Vehicles
  • Unmanned Vehicles
  • Vehicles

Readers

  • Instructional Design and Training Evaluation.
  • Parallel and Distributed Computing.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction