Automation Middleware and Algorithms for Robotic Underwater Sensor Networks

Abstract

The long term goals of the proposed research are: (1) To establish systems and algorithms for controlled Lagrangian particle tracking that will be used to improve the accuracy of model prediction of ocean current. (2) To achieve a mission planning system for robotic underwater sensor networks that is able to perform automatic or semi-automatic adaptation to extreme ocean conditions and platform failure, deployment, and recovery.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA533979

Entities

People

  • Fumin Zhang

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Automatic
  • Automation
  • Computer Programs
  • Control Systems
  • Cyber-Physical Systems
  • Detectors
  • Kalman Filtering
  • Kalman Filters
  • Middleware
  • Networks
  • Ocean Currents
  • Oceans
  • Particles
  • Sensor Networks

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Neural Network Machine Learning.
  • Oceanography.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks
  • Autonomy
  • Autonomy - Autonomous System Control