Autonomous Robot Control via Autonomy Levels (ARCAL)

Abstract

Unmanned aircraft systems (UAS) need to handle more autonomy and perform more intelligent behaviors. These systems will be deployed in clusters with human supervisors to perform collaborative missions. A UAS will take on expanded roles invoking higher-order decision-making functions and capabilities supporting autonomous mission planning, resource allocation, route planning, scheduling, and execution of coordinated tasks.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 25, 2015
Accession Number
AD1034900

Entities

People

  • Andrew Wang
  • Lawrence A. Bush

Organizations

  • MIT Lincoln Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Autonomous Systems
  • Autonomous Vehicles
  • Computers
  • Data Analysis
  • Engineers
  • Natural Disasters
  • Operations Research
  • Pattern Recognition
  • Probabilistic Models
  • Probability
  • Reconnaissance
  • Reconnaissance Aircraft
  • Three Dimensional
  • Unmanned Aerial Systems
  • Unmanned Systems

Fields of Study

  • Computer science

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs