Automation Middleware and Algorithms for Robotic Underwater Sensor Networks

Abstract

The long term goals of the project are: (1) To establish systems and algorithms for controlled Lagrangian particle tracking that will be used to improve the accuracy of model based prediction of trajectories of controlled underwater vehicles subjected to ocean current. (2) To achieve a mission planning system for robotic underwater sensor networks that are able to perform automatic or semiautomatic 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, 2010
Accession Number
ADA542612

Entities

People

  • Fumin Zhang

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Automatic
  • Automation
  • Autonomous Underwater Vehicles
  • Autonomous Vehicles
  • Control Systems
  • Cooperative Control
  • Cyber-Physical Systems
  • Filtration
  • Kalman Filtering
  • Kalman Filters
  • Middleware
  • Sensor Networks
  • Three Dimensional
  • Two Dimensional
  • Underwater Vehicles
  • Vehicles

Readers

  • Acoustical Oceanography.
  • Distributed Systems and Data Platform Development
  • Software Engineering

Technology Areas

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