A network-based approach for assessing co-operating manned and unmanned systems (MUMS)

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

Abstract

Traditionally, robots have been programmed to do precisely what their human operators instruct them to do, but more recently, they have become more sophisticated, intelligent, and autonomous. Once they reach a sufficiently high level of intelligent autonomy, they can support more collaborative interactions with each other and with people. As robots become more and more intelligent, we will begin designing systems where robots interact with humans, rather than designing robots that are commanded by people with continual oversight. One approach to assessing how humans and robots will interact in the future is to frame the problem as a collection of intelligent nodes. Multiple, collaborating, and interacting manned and robotic systems can be represented as a collection of dynamic, interacting nodes. This paper develops preliminary metrics to support understanding the extent of preferential attachment that would arise in a system of cooperating manned and unmanned systems (MUMS). The metrics seek to help explain if attachments are localized to specific situations or if they are more pervasive throughout a MUMS society.

Original languageEnglish (US)
Title of host publicationProceedings of the 10th Performance Metrics for Intelligent Systems Workshop, PerMIS 2010
Pages222-226
Number of pages5
DOIs
StatePublished - 2010
Event10th Performance Metrics for Intelligent Systems Workshop, PerMIS 2010 - Baltimore, MD, United States
Duration: Sep 28 2010Sep 30 2010

Publication series

NamePerformance Metrics for Intelligent Systems (PerMIS) Workshop

Conference

Conference10th Performance Metrics for Intelligent Systems Workshop, PerMIS 2010
CountryUnited States
CityBaltimore, MD
Period9/28/109/30/10

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering

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