Pandora's Box: Lethally-Armed Ground Robots in Operations in Iraq and Afghanistan

Abstract

Unmanned ground vehicles (UGVs) have become increasingly popular for many intelligence, surveillance, and reconnaissance missions and explosive-ordnance disposal missions in the ongoing conflicts in Iraq and Afghanistan. In these roles, UGVs are credited with saving countless lives. Given the success in missions undertaken so far, there is an interest in arming these UGVs and using them for strike missions. This paper presents three arguments against using unmanned ground vehicles for strike missions in the counterinsurgency operations the U.S. military is conducting in Iraq and Afghanistan. The arguments are based on the Laws of Armed Conflict, the principles of counterinsurgency operations, and the professional military ethic. A counter-argument based on the similarity to Predator strikes is presented and refuted, as are counter-arguments based on saving money and personnel. Finally, this paper recommends that combatant commanders not employ lethally-armed ground robots in the current operations in Iraq and Afghanistan.

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Document Details

Document Type
Technical Report
Publication Date
Oct 27, 2010
Accession Number
ADA535604

Entities

People

  • Lisa A. Shay

Organizations

  • Naval War College

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Anti-Tank Missiles
  • Combatant Commanders
  • Control Systems
  • Engineers
  • Explosive Ordnance Disposal
  • Ground Vehicles
  • Military Operations
  • Military Personnel
  • Robots
  • Unmanned Aerial Systems
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Vehicles
  • War Colleges
  • Warfare
  • Weapons

Fields of Study

  • History
  • Sociology

Readers

  • Military and Counterinsurgency Studies.
  • Political Violence and Terrorism Studies.
  • Strategic Security Studies

Technology Areas

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