An Evolutionary Strategy For Achieving Autonomous Navigation

Abstract

An approach is presented for the evolutionary development of supervised autonomous navigation capabilities for small "backpackable" ground robots, in the context of a DARPA-sponsored program to provide robotic support to small units of dismounted warfighters. This development approach relies on the implementation of a baseline visual servoing navigation capability, including tools to support operator oversight and override, which is then enhanced with semantically referenced commands and a mission scripting structure. As current and future machine perception techniques are able to automatically designate visual servoing goal points, this approach should provide a natural evolutionary pathway to higher levels of autonomous operation and reduced requirements for operator intervention.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1998
Accession Number
ADA422374

Entities

People

  • Douglas W. Gage

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Autonomous Navigation
  • Collision Avoidance
  • Computer Vision
  • Ground Vehicles
  • Jet Propulsion
  • Machine Perception
  • Military Operations
  • Motion Planning
  • Navigation
  • Robot Navigation
  • Robotics
  • Robots
  • Unexploded Ammunition
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Vehicles
  • Visual Servoing

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Human-Computer Interaction (HCI).
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction