Terrain Analysis for Human-Robot Interaction (TAH-RI): Enabling Terrain Understanding to Improve Tactical Behavior

Abstract

Terrain has a big impact on how battlefield situations unfold primarily because of its effects on observability, mobility, and restriction of fields of fire. As armed forces of the information age come within each other's sensor coverage, information about them is rapidly conveyed to their opponents. Terrain imposes constraints and opens opportunities for the creative use of Battlefield Operating Systems (BOS) and the capabilities and limitations of available troops, vehicles, systems, and materiel. Thus, understanding terrain, and its tactical import is essential for a force to succeed in its missions. Future Force Warrior (FFW) and Future Combat Systems (FCS) initiatives are developing advanced functional capabilities to aid Soldiers in operations to control and hold ground. Adding robotic vehicles, sensors, and weapons creates a planning and coordination challenge for commanders, and highlights the need for autonomous robotic systems that effectively "understand" the tactical import of terrain and integrate that understanding into their situation awareness and behavior-generation processes. TAH-RI is reusable component software providing means of increasing readiness of Soldiers (e.g., in training and performance support systems) to integrate terrain understanding into battlefield decision-making processes, and means of enabling more autonomy in robots through terrain understanding for tactical behavior generation.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2005
Accession Number
ADA434525

Entities

People

  • Dawn Riddle
  • Jim Hicinbothom
  • Ken Graves
  • Robin Murphy

Organizations

  • CHI Systems (United States)

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Navigation
  • Autonomous Systems
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computer Programming
  • Computers
  • Human-Machine Interaction
  • Human-Robot Interaction
  • Motion Planning
  • Psychology
  • Robot Navigation
  • Robots
  • Situational Awareness
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles
  • Warfare

Fields of Study

  • Computer science

Readers

  • Economics
  • Military Training and Readiness Simulation
  • Robotics and Automation.

Technology Areas

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