After Action Report to the Joint Program Office: Center for the Robotic Assisted Search and Rescue (CRASAR) Related Efforts at the World Trade Center

Abstract

The purpose of this report is to provide the Program Manager for the Unmanned Ground Vehicles/Systems Joint Program Office (UGV/S JPO) of the Office of the Secretary of Defense Joint Robotics Program with a quick summary of the introduction of small teleoperated robots to disasterrelated search and rescue operations following the 11 September 2001 terrorist attack upon the World Trade Center in New York City. This report will also list certain lessons learned from that event and propose recommendations based upon those lessons for future development, deployment, and operation of urban search and rescue robotic tools. The scope of this report is limited generally to the experiences of the SSC San Diego URBOT team; however, where possible we include additional information that was generously provided by four other technology team leaders who were also involved in the WTC search and rescue efforts./E@

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2002
Accession Number
ADA495121

Entities

People

  • Hobart R. Everett
  • Michael R. Blackburn
  • Robin T. Laird

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Autonomous Navigation
  • Department Of Defense
  • Department Of Homeland Security
  • Disasters
  • Emergency Response
  • First Responders
  • Global Positioning Systems
  • Ground Vehicles
  • Inertial Navigation
  • Inertial Navigation Systems
  • Lessons Learned
  • Military Applications
  • Navigation
  • New York
  • Robots
  • Situational Awareness
  • Unmanned Ground Vehicles

Readers

  • Emergency Management and Homeland Security.
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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