An objective function to evaluate performance of human-robot systems for target recognition tasks

Avital Bechar, Joachim Meyer, Yael Edan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Robots operating in unstructured environments must cope with uncertain, unpredictable and dynamic situations, resulting in lack of information. Introducing a Human-Operator into the system can help simplify the robotic system and improve performance. In previous work we presented a methodology to determine the best collaboration level for an integrated human-robot target recognition system in unstructured environments. The methodology is based on an objective function for target recognition in human-robot systems. In this paper the objective function was expanded to include operational and time costs that are both important for evaluating and optimizing system performance. Numerical analyses of the developed objective function, combined with signal detection theory, were applied for the predefined collaboration levels. Results indicate that optimal collaboration of human and robot in target recognition tasks will always improve the optimal performance of a single human detector.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Pages967-972
Number of pages6
DOIs
StatePublished - 1 Dec 2007
Event2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
Duration: 7 Oct 200710 Oct 2007

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Country/TerritoryCanada
CityMontreal, QC
Period7/10/0710/10/07

ASJC Scopus subject areas

  • Engineering (all)

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