MPRS (URBOT) Commercialization

Abstract

The Man Portable Robotic System (MPRS) project objective was to build and deliver hardened robotic systems to the U.S. Army's 10 Mountain Division in Fort Drum, New York. The system, specifically designed for tunnel and sewer reconnaissance, was equipped with visual and audio sensors that allowed the Army engineers to detect trip wires and booby traps before personnel entered a potentially hostile environment. The MPRS system has shown to be useful in government and military supported field exercises, but the system bas yet to reach the hands of civilian users. Potential users in Law Enforcement and Border Patrol have shown a strong interest in the system, but robotic costs were thought to be prohibitive for law enforcement budgets. Through the Center for Commercialization of Advanced Technology (CCAT) program, an attempt will be made to commercialize the MPRS. This included a detailed market analysis performed to verify the market viability of the technologies. hence, the first step in this phase is to fully define the marketability of proposed technologies in terms of actual market size, pricing and cost factors, competitive risks and/or advantages, and other key factors used to develop marketing and business plans.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2003
Accession Number
ADA422066

Entities

People

  • Donny Ciccimaro
  • Ian Hamilton
  • Joel Renick
  • Leif Heikkila
  • William Baker

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Business Administration
  • Cameras
  • Civil Engineering
  • Commerce
  • Control Systems
  • Department Of Defense
  • Detectors
  • Engineering
  • Engineers
  • Environment
  • Governments
  • Inspection
  • Law Enforcement
  • Maintenance Costs
  • Military Operations
  • Reconnaissance
  • Surveillance

Readers

  • Economics
  • Naval Personnel Management
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy