Command and control of teams of autonomous systems

Douglas S. Lange, Phillip Verbancsics, Robert S. Gutzwiller, John Reeder, Cullen Sarles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


The command and control of teams of autonomous vehicles provides a strong model of the control of cyber-physical systems in general. Using the definition of command and control for military systems, we can recognize the requirements for the operational control of many systems and see some of the problems that must be resolved. Among these problems are the need to distinguish between aberrant behaviors and optimal but quirky behaviors so that the human commander can determine if the behaviors conform to standards and align with mission goals. Similarly the commander must able to recognize when goals will not be met in order to reapportion assets available to the system. Robustness in the face of a highly variable environment can be met through machine learning, but must be done in a way that the tactics employed are recognizable as correct. Finally, because cyber-physical systems will involve decisions that must be made at great speed, we consider the use of the Rainbow framework for autonomics to provide rapid but robust command and control at pace.

Original languageEnglish (US)
Title of host publicationLarge-Scale Complex IT Systems
Subtitle of host publicationDevelopment, Operation and Management - 17th Monterey Workshop 2012, Revised Selected Papers
Number of pages13
StatePublished - 2012
Externally publishedYes
Event17th Monterey Workshop on Large-Scale Complex IT Systems, LSCITS 2012 - Oxford, United Kingdom
Duration: Mar 19 2012Mar 21 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7539 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th Monterey Workshop on Large-Scale Complex IT Systems, LSCITS 2012
Country/TerritoryUnited Kingdom


  • autonomic
  • command and control
  • cyber-physical
  • machine learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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