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Performance analysis of a human-Robot collaborative target recognition system
Year:
2012
Source of publication :
Robotica
Authors :
Bechar, Avital
;
.
Volume :
30
Co-Authors:
Oren, Y., Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Bechar, A., Institute of Agricultural Engineering, Volcani Center, A.R.O. Bet-Dagan, Israel
Edan, Y., Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Facilitators :
From page:
813
To page:
826
(
Total pages:
14
)
Abstract:
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 C 39(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. © 2011 Cambridge University Press.
Note:
Related Files :
Computer applications
Cost benefit analysis
Objective functions
Operational costs
Operational level
Performance analysis
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More details
DOI :
10.1017/S0263574711001020
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
18928
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:25
Scientific Publication
Performance analysis of a human-Robot collaborative target recognition system
30
Oren, Y., Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Bechar, A., Institute of Agricultural Engineering, Volcani Center, A.R.O. Bet-Dagan, Israel
Edan, Y., Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Performance analysis of a human-Robot collaborative target recognition system
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 C 39(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. © 2011 Cambridge University Press.
Scientific Publication
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