Development and Testing for Physical Security Robots

Abstract

The Mobile Detection Assessment Response System (MDARS) provides physical security for Department of Defense bases and depots using autonomous unmanned ground vehicles (UGVs) to patrol the site while operating payloads for intruder detection and assessment, barrier assessment, and product assessment. MDARS is in the System Development and Demonstration acquisition phase and is currently undergoing developmental testing including an Early User Appraisal (EUA) at the Hawthorne Army Depot, Nevada - the world's largest army depot. The Multiple Resource Host Architecture (MRHA) allows the human guard force to command and control several MDARS platforms simultaneously. The MRHA graphically displays video, map, and status for each resource using wireless digital communications for integrated data, video, and audio. Events are prioritized and the user is prompted with audio alerts and text instructions for alarms and warnings. The MRHA also interfaces to remote resources to automate legacy physical devices such as fence gate controls, garage doors, and remote power on/off capability for the MDARS patrol units. This paper provides an overview and history of the MDARS program and control station software with details on the installation and operation at Hawthorne Army Depot, including discussions on scenarios for EUA excursions. Special attention is given to the MDARS technical development strategy for spiral evolutions.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA507412

Entities

People

  • B.G. Frederick
  • Chinh Nguyen
  • Daniel M. Carroll
  • Hobart R. Everett

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Cyber
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Collision Avoidance
  • Command And Control
  • Department Of Defense
  • Detection
  • Detectors
  • Force Protection
  • Ground Vehicles
  • Intrusion Detection
  • Maintenance
  • Physical Security
  • Robotics
  • Security
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • Vehicles

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Environmental Impact Assessment (EIA) of Proposed Air Force Base Actions.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Fully Networked C3
  • Fully Networked C3 - Command and Control