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 and decision making under uncertainty.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 25, 2014
Accession Number
ADA624560

Entities

People

  • Pierre F. J. Lermusiaux

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Engineering
  • Equations
  • Flow
  • Flow Fields
  • Mechanical Engineering
  • Motion Planning
  • Oceans
  • Random Variables
  • Random Walk
  • Sampling
  • Stochastic Processes
  • Students
  • Systems Science
  • Trajectories
  • Vehicles

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control