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Performance analysis of a human–robot collaborative target recognition system

Published online by Cambridge University Press:  03 October 2011

Y. Oren ,
A. Bechar  and
Y. Edan
Y. Oren
Affiliation:
Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
A. Bechar*
Affiliation:
Institute of Agricultural Engineering, The Volcani Center, A.R.O. Bet-Dagan, Israel
Y. Edan
Affiliation:
Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
*
*Corresponding author. E-mail: [email protected]
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Summary

This paper presents a comprehensive analysis of time and action operational costs on an objective function developed by Bechar et al. (A. Bechar, J. Meyer and Y. Edan, “An objective function to evaluate performance of human–robot collaboration in target recognition tasks,” IEEE Trans. Syst. Man Cybern. Part C39(6), 611–620 (2009)) for collaborative target recognition systems. Different task types, system reaction types, and environments were evaluated. Results reveal two types of task and system reactions – one focused on minimizing false alarms, and the second on detecting a target when one is presented. In addition, the analysis reveals a new property of the objective function based on a specific ratio between the weight differences that generalizes the model's objective function and facilitates its analysis. Results indicate that human decision time strongly influences system performance.

Keywords

Operational levelHuman–robot collaborationObjective functionPerformance analysisOperational costTarget recognition
Type
Articles
Information
Robotica , Volume 30 , Issue 5 , September 2012 , pp. 813 - 826
Copyright
Copyright © Cambridge University Press 2011

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