Initial Development and Testing of an Adaptive Mission Planner for a Small Unmanned Underwater Vehicle

Abstract

An Adaptive Mission Planner (AMP) was developed for the REMUS Unmanned Underwater Vehicle (UUV) in order to have the vehicle react to real-time sensor data and alter course for the purpose of chemical plume tracing. In order for a UUV to track a plume autonomously, it must implement search strategies in an intelligent manner as dictated by environmental circumstances without human intervention. Throughout the mission, the UUV will combine the sensed flow and concentration information to construct a map of likely source or plume locations. This AMP has been designed and tested in simulation at the University of California, Riverside, and has now been installed on the SPAWARSYSCEN-SD REMUS UUV. This paper will describe the search strategies and initial field tests which use the AMP to break away from the vehicle's pre-programmed missions. Two sets of experiments are described herein. The first uses bathymetry as the environmental driving input. The second uses chemical concentration as the primary input.

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Document Details

Document Type
Technical Report
Publication Date
Jun 13, 2003
Accession Number
ADA510560

Entities

People

  • Jay A Farrell
  • Richard M. Arrieta
  • Shuo Pang
  • Wei Li

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • California
  • Chemical Detectors
  • Computers
  • Coordinate Systems
  • Dead Reckoning
  • Detection
  • Detectors
  • Engineering
  • Field Tests
  • Fish
  • Navigation
  • Underwater Acoustics
  • Underwater Vehicles
  • Universities
  • Unmanned Underwater Vehicles
  • Vehicles

Readers

  • Acoustical Oceanography.
  • Strategic Security Studies
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy