YIP: Generic Environment Models (GEMs) for Agile Marine Autonomy

Abstract

This project builds a roadmap to achieve agile marine autonomy that endows unmanned marine systems with ability to take fast responses to environmental changes. Agile marine autonomy may help unmanned systems to out maneuver opponents in future naval battles. The proposal will overcome the demand for significant amount of computing resources and complex software packages from existing ocean modeling methods.The technical objectives include the following: 1. Establish the methodology of constructing generic environment models (GEMs). A GEM does not rely on a specific region or a specific ocean process. It can have higher resolution in both space and time and can be computed much faster than classical ocean models. In combination with existing ocean models, GEMs enable navigation of mobile agents in the marine environment in real time. 2. Develop control and navigation algorithms that benefit from the GEMs. GEM provides fast information to unmanned systems whose motion also affects the quality of GEMs. Through a new theory called Controlled Lagrangian Particle Tracking (CLPT), we develop methods to refine control and navigation algorithms due to GEMs. 3. Provide multi-disciplinary training to graduate and undergraduate students who will be the future task-force in marine technology.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2011
Accession Number
ADA557086

Entities

People

  • Fumin Zhang

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Autonomous Underwater Vehicles
  • Autonomy
  • Cognitive Systems Engineering
  • Computer Programming
  • Control Systems
  • Control Systems Engineering
  • Dynamic Programming
  • Engineering
  • Environment
  • Marine Systems (Military)
  • Motion Planning
  • Navigation
  • Oceans
  • Students
  • Underwater Gliders
  • Unmanned Systems

Readers

  • Distributed Systems and Data Platform Development
  • Oceanography.
  • Robotics and Automation.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers