Engineering Intelligent Undersea Vehicles

Abstract

Artificial intelligence (AI) techniques have been applied to, and developed for, robotic vehicles. However, the AI approach has not produced a specific methodology for engineering robotic vehicles. Future vehicles need to be engineered with intelligence being an emergent property of their behavior. Producing mission specific behaviors, rather than 'intelligence' directly, is an alternative engineering goal worth consideration. For the rapid development of mission-specific vehicles, application-specific computer-aided engineering (CAE) tolls need to be developed. Given that robotics will be a regular component of the future, extensible engineering methods need to be developed for the design and implementation of deliverable mission-specific vehicles. A review and survey of topics related to this approach are given, and a new approach to engineering vehicles is recommended. Keywords: Teleoperation; Underwater vehicles; Telerobotics; Reprints.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1990
Accession Number
ADA223948

Entities

People

  • Jayson T. Durham

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Vehicles
  • Cognitive Systems Engineering
  • Command And Control Systems
  • Computer Architecture
  • Computer Programming
  • Computer-Aided Design
  • Computers
  • Computing System Architectures
  • Control Systems
  • Engineering
  • Engineers
  • Remotely Piloted Vehicles
  • Robotics
  • Software Development
  • Supervisory Control
  • Unmanned Vehicles

Fields of Study

  • Engineering

Readers

  • Database Systems and Applications
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control