Recommendations for Future Human-Autonomy Research Investments: Sensor Fusion, Machine Learning and Resilient Control Architectures

Abstract

Performers of the Autonomy Research Pilot Initiative (ARPI) came together 1719 February 2016 at the Liberty Station Naval Training Center in San Diego to discuss current issues impeding the success of human autonomy teaming and strategies moving forward to push though these barriers. The meeting included three small group breakout sessions, each focused on a different control system topic, followed by interactive out briefs of each group to the wider audience. The goals of the breakout sessions were to determine the logical next steps to advance the field of autonomy, how the ARPI program aided in creating the foundations for these future endeavors, and on what issues long-term research investments should focus

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2016
Accession Number
AD1070874

Entities

People

  • Benjamin Migliori
  • Daniel Donavanik
  • Doug Lange
  • Jamie Lukos
  • Jessie Y. C. Chen
  • John Reeder
  • Leah Kelley
  • Maryanne Fields

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Cyber
  • Ground and Sea Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Autonomous Systems
  • Bayesian Networks
  • Command And Control
  • Control Systems
  • Data Analysis
  • Department Of Defense
  • Governments
  • Information Science
  • Machine Learning
  • Neural Networks
  • Ontologies
  • Situational Awareness
  • Three Dimensional
  • United States Government
  • Unmanned Systems

Readers

  • Defense Technology Research and Development.
  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy