Long-Duration Environmentally-Adaptive Autonomous Rigorous Naval Systems

Abstract

Our long-term goal is to develop and apply new theory, algorithms and computational systems for the sustained coordinated operation of multiple collaborative autonomous vehicles over long time durations in realistic multiscale nonlinear ocean settings, such that the integrated naval system optimally collects observations, rigorously propagates information backward and forward in time, and accurately completes persistent learning, environmental adaptation, machine metacognition anddecision making under uncertainty.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2015
Accession Number
AD1014391

Entities

People

  • Pierre F. J. Lermusiaux

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Assimilation
  • Autonomous Underwater Vehicles
  • Autonomous Vehicles
  • Bayesian Inference
  • Computations
  • Engineering
  • Equations
  • Flow
  • Flow Fields
  • Measurement
  • Mechanical Engineering
  • Motion Planning
  • Nonlinear Dynamics
  • Students
  • Vehicles

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control