Unmanned Ground Vehicle Two-Level Planning Technology Assessment

Abstract

The recently concluded 8-year Robotics Collaborative Technology Alliance (RCTA) pursued technologies to support tactical behaviors of unmanned ground systems as a way to illustrate advances in the research program thrust areas of perception, intelligent control, and Soldier-machine interface. In April 2009, the U.S. Army Research Laboratory conducted an experiment at Fort Indiantown Gap, PA, to measure the capability of current autonomous navigation planning algorithms to solve complex terrain challenges previously not achievable under the local planning approach used in Demo III, the forerunner program and baseline for the RCTA. The principal focus was to evaluate the relative performance of three planning algorithms representing the span of research from Demo III to the closing months of the RCTA.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2010
Accession Number
ADA532045

Entities

People

  • Alberto Lacaze
  • Barry A. Bodt
  • Greg Kreafle
  • Juan P. Gonzalez
  • Leonard Sapronov
  • Marshall A. Childers
  • Richard S. Camden
  • Robert M. Dean
  • Susan G. Hill
  • William F. Dodson

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Autonomous Navigation
  • Command And Control
  • Experimental Design
  • Ground Control Stations
  • Ground Vehicles
  • Military Research
  • Motion Planning
  • Navigation
  • Perception
  • Robotics
  • Simulations
  • Technology Assessment
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Vehicles
  • Vehicles

Readers

  • Defense Technology Research and Development.
  • Facility/Structural Engineering.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Autonomy