Unmanned Ground Vehicle Tactical Behaviors Technology Assessment

Abstract

During 4-14 February 2008, the U.S. Army Research Laboratory and General Dynamics Robotic Systems conducted an unmanned systems tactical behaviors technology assessment at three training areas of Ft. Indiantown Gap, PA. The purpose of the assessment was to examine the ability to use sensed information to locally orient an unmanned ground vehicle (UGV) in order to obtain line of sight for an onboard reconnaissance surveillance target acquisition system to scan a sufficient portion of a named area of interest (NAI) and the impact of advances in deliberative layer planning technologies to enhance autonomous mobility in a relevant environment. The assessment was an opportunity to evaluate the performance of the technologies in a relevant environment and to provide useful feedback to the engineers for continued development. The results show that the algorithms successfully enabled the UGV to autonomously maneuver to a position that provided sufficient coverage of an NAI and that the interplay of path-planning algorithms at multiple levels has a significant impact on the ability of a UGV to maneuver in a relevant environment.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA494897

Entities

People

  • Barry A. Bodt
  • Leonid Sapronov
  • Lyle G. Sutton
  • Marshal A. Childers
  • Richard Camden
  • Robert M. Dean
  • Susan G. Hill
  • William F. Dodson

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Data Analysis
  • Detection
  • Engineering
  • Ground Vehicles
  • Line Of Sight
  • Maneuvers
  • Military Operations
  • Military Research
  • Motion Planning
  • Plastic Explosives
  • Reconnaissance
  • Robotics
  • Technology Assessment
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Readers

  • Environmental Remediation and Restoration.
  • 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