A Simplified Taxonomy of Command and Control Structures for Robot Teams

Abstract

For a team to be effective, it must coordinate and cooperate in some fashion. Often this ability is a direct function of the way the team is put together. Selecting the right architecture is driven by many factors including the skill of the individual, ability to communicate, availability of resources, and the size of the team. In this paper, we examine the issue of command and control from the perspective of coordinating a team of robots. We look at the existing field of robotics and select several representative teams that cover the spectrum from teleoperation to peer to peer interaction. We identify and examine the mechanisms that facilitate coordination and define a taxonomy that describes the coordination complexity. Finally we look at the role of the human as he interacts with the team and how this interaction influences the coordination between members of the team.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA464301

Entities

People

  • Alan Christiansen
  • Robert Grabowski

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Collision Avoidance
  • Command And Control
  • Command And Control Systems
  • Complex Systems
  • Control Systems
  • Detectors
  • Environment
  • Guidance
  • Market Economy
  • Military Applications
  • Range Finders
  • Robotics
  • Search And Rescue
  • Taxonomy
  • Unmanned Systems
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction
  • Fully Networked C3
  • Fully Networked C3 - Command and Control