Unmanned Tactical Autonomous Control and Collaboration Situation Awareness

Abstract

The Unmanned Tactical Autonomous Control and Collaboration (UTACC) program is a Marine Corps Warfighting Laboratory (MCWL) initiative to build a Marine-robotic collaborative infantry fire team. The impact of robotic teammates on the situation awareness (SA) of the fire team is a central concern for this program. The proliferation of SA enhancing technology to the lowest echelons of Marine infantry forces often involves a tradeoff between focused and distributed SA due to limited attention resources. UTACC seeks a means to measure SA tradeoffs due to the incorporation of robots into infantry fire teams. This thesis reviews present models of individual and team SA that are applicable to the military infantry environment and proposes individual and team models of SA that address the unique requirements of UTACC. The authors then applied SA principles to Coactive Design in order to inform robotic design. The result is a methodology framework using interdependence analysis (IA) tables for informing design requirements based on SA requirements. Future research should seek to develop additional IA tables for the entirety of the Marine Corps infantry fire team mission set.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2017
Accession Number
AD1046299

Entities

People

  • Carl P. Beierl
  • Devon R. Tschirley

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Cyber
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Coordinate Systems
  • Electromagnetic Radiation
  • Human Factors Engineering
  • Military Education
  • Military Science
  • Organizational Structure
  • Psychology
  • Reliability
  • Situational Awareness
  • Students
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Warfare

Readers

  • Maritime Combat Support and Expeditionary Logistics.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs