Artificial Intelligence for Mobility and Maneuver (AIMM) World Model Progress Report: Modeling Patterns

Abstract

This report summarizes progress to date in ontology development toward the goal of having a semantic world model in the US Army Combat Capabilities Development Command Army Research Laboratory autonomy architecture. Our focus is on a simple robot, an autonomous system capable of sensing and navigating through its environment, on a route reconnaissance mission. We provide a number of typical examples of the type of knowledge and reasoning we expect of a world model, and we identify a small set of modeling constructs to handle temporality, spatial location and other properties, expectations, sets, and more-specific domain concepts such as paths and blockage. The current status is summarized and directions for the future are outlined.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2021
Accession Number
AD1131837

Entities

People

  • Robert St. Amant

Organizations

  • United States Army

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Autonomous Navigation
  • Autonomous Systems
  • Autonomy
  • Availability
  • Classification
  • Computer Programs
  • Contracts
  • Environment
  • Information Science
  • Language
  • Linguistics
  • Maneuvers
  • Military Research
  • Mobility
  • Models
  • Monitoring
  • Ontologies
  • Reasoning
  • Reconnaissance
  • Robotics
  • Robots
  • Security

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Maritime Combat Support and Expeditionary Logistics.

Technology Areas

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