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Human-Machine Collaboration for Melons Detection
Year:
2000
Authors :
Bechar, Avital
;
.
Volume :
1
Co-Authors:
Bechar, A., Inst. of Agricultural Engineering, Agricultural Research Organization, P. O. Box 6, Bet Dagan 50250, Israel, Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Edan, Y., Inst. of Agricultural Engineering, Agricultural Research Organization, P. O. Box 6, Bet Dagan 50250, Israel, Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Meyer, J., Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Rotman, M., Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Friedman, L., Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Facilitators :
From page:
963
To page:
969
(
Total pages:
7
)
Abstract:
Integrating a human-operator (HO) into a robotic system can help improve performance and reduce system complexity. This work proposes and evaluates four different strategies for human-robot collaboration in a melon identification task.. Experiments were conducted to compare the performance of each strategy. Results indicated that incorporation of a HO reduces detection time by 20%, the number of operations and net operations by 40% and 67% correspondingly. Collaboration of HO and robot increases detection.
Note:
Related Files :
Agriculture
Algorithms
Melons
robots
sensors
systems analysis
Show More
Related Content
More details
DOI :
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
Conference paper
;
.
Language:
English
Editors' remarks:
ID:
31168
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 01:00
Scientific Publication
Human-Machine Collaboration for Melons Detection
1
Bechar, A., Inst. of Agricultural Engineering, Agricultural Research Organization, P. O. Box 6, Bet Dagan 50250, Israel, Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Edan, Y., Inst. of Agricultural Engineering, Agricultural Research Organization, P. O. Box 6, Bet Dagan 50250, Israel, Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Meyer, J., Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Rotman, M., Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Friedman, L., Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
Human-Machine Collaboration for Melons Detection
Integrating a human-operator (HO) into a robotic system can help improve performance and reduce system complexity. This work proposes and evaluates four different strategies for human-robot collaboration in a melon identification task.. Experiments were conducted to compare the performance of each strategy. Results indicated that incorporation of a HO reduces detection time by 20%, the number of operations and net operations by 40% and 67% correspondingly. Collaboration of HO and robot increases detection.
Scientific Publication
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