A KNOWLEDGE-BASED SYSTEM ARCHITECTURE FOR CONTROL OF UNDERWATER VEHICLES

Autonomous Underwater Vehicles (AUVs) are receiving increasing attention as platforms for some demanding marine tasks. An AUV has the capability of performing survey, inspection and manipulative tasks with limited or no interference from the outside. Such a system should have the control capability to detect and pass obstacles, modify its own behavior, reason about voyage problems, replan its mission and model the environment in 3 dimensions. Control of AUVs may be based on a number of technologies from Artificial Intelligence. The project discussed in this paper deals with the application of new principles in problem solving, planning and control of AUVs.

• Supplemental Notes:
  • Conference paper
• Authors:
  • Kristiansen, S
• Conference:
  • Ship Technology and Research Symposium (STAR), 13th
  • Location: Pittsburgh, Pennsylvania
  • Date: 1988-6-8 to 1988-6-10
• Publication Date: 0

Media Info

• Features: References;
• Pagination: 13p.

Subject/Index Terms

• TRT Terms: Artificial intelligence; Control systems; Remote control
• Old TRIS Terms: Unmanned vehicles
• Subject Areas: Data and Information Technology; Marine Transportation;

Filing Info

• Accession Number: 00655923
• Record Type: Publication
• Source Agency: Maritime Technical Information Facility
• Files: TRIS
• Created Date: Jul 21 1994 12:00AM