Squad-Level Soldier-Robot Dynamics: Map-Based Inferences for Autonomous Decision Making

Abstract

This report describes an evaluation conducted to determine how a squad-level ground robotic asset can assist in mission planning and squad-level tactical decision making based on map-based information and Soldier tactics, techniques, and procedures. We built upon information from previous structured interviews to further explore squad-level robotic assets and capabilities. Additional structured questionnaire items were used to examine these issues, using map-based descriptions to illustrate mission background information. These questions were developed to elicit detailed feedback from Soldiers concerning the operationally relevant information contained in map-based data, the tactical options this information affords, and decision processes for choosing among these options. This feedback would enable programmers to focus on the most tactically relevant information for developing algorithms for mission planning.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2018
Accession Number
AD1056166

Entities

People

  • Clifford C. Swiecicki
  • Linda R. Elliott
  • Rodger Pettitt

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Ammunition
  • Artificial Intelligence
  • Autonomous Systems
  • Engineering
  • Explosive Devices
  • Explosives
  • Improvised Explosive Devices
  • Medical Evacuation
  • Military Applications
  • Military Operations
  • Military Research
  • Military Science
  • Psychology
  • Robotics
  • Rules Of Engagement
  • Unmanned Systems
  • Warfare

Readers

  • Computer Science.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs