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פותח על ידי קלירמאש פתרונות בע"מ -
An objective function for performance measurement of human-robot target recognition systems in unstructured environments
Year:
2004
Authors :
בכר, אביטל
;
.
Volume :
1
Co-Authors:
Bechar, A., Inst. of Agricultural Engineering, Agricultural Research Organization, Bet Dagan, 50250, Israel
Edan, Y., Dept. of Indust. Eng. and Management, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Meyer, J., Dept. of Indust. Eng. and Management, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Facilitators :
From page:
118
To page:
123
(
Total pages:
6
)
Abstract:
Robotic systems for unstructured environments need to cope with rapid changes in time and space, inherent uncertainty, and generate unpredictable and dynamic situations, resulting in lack of information, due to inadequate sensor accuracy and computational limitations. Introduction of a Human-Operator (HO) into the system can help simplify the robotic system and ensure improved performance. In the current study we developed an objective function for different levels of HO-robot collaboration in a target recognition task. The objective function considers several HO and robot parameters, which contribute to the overall performance in each level of collaboration. Results indicate that HO-robot collaboration improves system performance in many conditions. The optimal collaboration level depends on image complexity and on robot and HO characteristics. Some of the latter have to be assessed through behavioral research on HOs. © 2004 IEEE.
Note:
Related Files :
Computational methods
human-robot interaction
Objective functions
robots
Unsaturated environment
עוד תגיות
תוכן קשור
More details
DOI :
10.1109/ICSMC.2004.1398284
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר מתוך כינוס
;
.
Language:
אנגלית
Editors' remarks:
ID:
30202
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:52
Scientific Publication
An objective function for performance measurement of human-robot target recognition systems in unstructured environments
1
Bechar, A., Inst. of Agricultural Engineering, Agricultural Research Organization, Bet Dagan, 50250, Israel
Edan, Y., Dept. of Indust. Eng. and Management, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Meyer, J., Dept. of Indust. Eng. and Management, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
An objective function for performance measurement of human-robot target recognition systems in unstructured environments
Robotic systems for unstructured environments need to cope with rapid changes in time and space, inherent uncertainty, and generate unpredictable and dynamic situations, resulting in lack of information, due to inadequate sensor accuracy and computational limitations. Introduction of a Human-Operator (HO) into the system can help simplify the robotic system and ensure improved performance. In the current study we developed an objective function for different levels of HO-robot collaboration in a target recognition task. The objective function considers several HO and robot parameters, which contribute to the overall performance in each level of collaboration. Results indicate that HO-robot collaboration improves system performance in many conditions. The optimal collaboration level depends on image complexity and on robot and HO characteristics. Some of the latter have to be assessed through behavioral research on HOs. © 2004 IEEE.
Scientific Publication
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