Navigating like a Human: Generating Landmark Designations for an Autonomous System using a Novelty Algorithm

Abstract

To improve robotic navigation, and drawing on inspiration from human navigation, a landmark designation algorithm was developed and tested using a simulated environment and in the real world. The algorithm used laser data or visual data to determine whether a new environment was considered novel (i.e., different from the previous data), then used this designation for a landmark. The landmark algorithm was tested to determine 1) if it consistently designated the same locations as landmarks and 2) if landmark designation was sparse enough for practical use. Results showed that the algorithm generated relatively consistent landmarks that also corresponded to human landmark designations, but it could be improved by adding top-down contextual information to be more useful.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2018
Accession Number
AD1063885

Entities

People

  • Sean M. Mcghee
  • Troy D. Kelley

Organizations

  • United States Army Research Laboratory

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Navigation
  • Autonomous Systems
  • Cartography
  • Computer Vision
  • Control Systems
  • Detection
  • Engineering
  • Environment
  • Information Systems
  • Military Research
  • Navigation
  • Robot Navigation
  • Robotics
  • Robots
  • Simultaneous Localization And Mapping
  • Unmanned Systems

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Geodesy
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Directed Energy