RSTA for Small Rovers in Urban Warfare.

Abstract

The U.S. Army Research Laboratory (ARL) is pursuing a major research initiative in robotics. This research centers on collaborative physical agents that have advanced sensing, analysis, and behavioral characteristics that are linked to a mother ship that uses advanced visualization and awareness tools. Applications that are prompting this effort are reconnaissance, surveillance, and target acquisition (RSTA) of both human and vehicle targets as well as nuclear, biological, and chemical agent detection and localization. This report focuses on the requirements of a robot, or rover, to operate in urban terrain (such as military operations in urbanized terrain (MOUT) facility), to autonomously and stealthily approach enemy-controlled buildings, and to identify humans and any hazards to them. The requirements for this scenario could be performed by three increasingly complex systems, depending upon the extent of the operation. The three proposed systems are an individual agent, a team of collaborative agents, or a mother ship that works with a team of collaborative agents. This report focuses on a single physical agent solution. The agents must be able to negotiate all areas, such as curbs, stairs, and rubble, within an urban terrain. This report also discusses the application and component research thrusts of the RSTA module to detect humans and hazards to humans.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1999
Accession Number
ADA365799

Entities

People

  • Mike Scanlon
  • Nassy Srour
  • Pete Budulas
  • Philip Emmerman
  • Stuart Young

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustics
  • Automated Speech Recognition
  • Cameras
  • Detection
  • Detectors
  • Direction Finding
  • Image Processing
  • Military Operations
  • Military Research
  • Pattern Recognition
  • Photographs
  • Target Acquisition
  • Target Detection
  • Test And Evaluation
  • Three Dimensional
  • Two Dimensional
  • Warning Systems

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Robotics and Automation.
  • 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