Abstract
This paper presents a vision-related technique for a real-time visual servoing. The method utilizes the global search feature of a genetic algorithm (GA) and a local search technique of the GA. In the GA process, the computation of the fitness function is based on the configuration of an object model designated as the surface-strips model. To evaluate the effectiveness of the proposed recognition method, experiments to track a fish by a hand-eye camera and catch the fish with a net attached to the hand of the manipulator have been performed.
| Original language | English |
|---|---|
| Pages (from-to) | 352-357 |
| Number of pages | 6 |
| Journal | IEEE/ASME Transactions on Mechatronics |
| Volume | 10 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jun 2005 |
| Externally published | Yes |
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Keywords
- Fish catching
- Gazing
- Genetic algorithm (GA)
- Real-time recognition
- Visual servoing
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Mechanical Engineering
Cite this
Visual servoing to catch fish using global/local GA search. / Suzuki, Hidekazu; Minami, Mamoru.
In: IEEE/ASME Transactions on Mechatronics, Vol. 10, No. 3, 06.2005, p. 352-357.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Visual servoing to catch fish using global/local GA search
AU - Suzuki, Hidekazu
AU - Minami, Mamoru
PY - 2005/6
Y1 - 2005/6
N2 - This paper presents a vision-related technique for a real-time visual servoing. The method utilizes the global search feature of a genetic algorithm (GA) and a local search technique of the GA. In the GA process, the computation of the fitness function is based on the configuration of an object model designated as the surface-strips model. To evaluate the effectiveness of the proposed recognition method, experiments to track a fish by a hand-eye camera and catch the fish with a net attached to the hand of the manipulator have been performed.
AB - This paper presents a vision-related technique for a real-time visual servoing. The method utilizes the global search feature of a genetic algorithm (GA) and a local search technique of the GA. In the GA process, the computation of the fitness function is based on the configuration of an object model designated as the surface-strips model. To evaluate the effectiveness of the proposed recognition method, experiments to track a fish by a hand-eye camera and catch the fish with a net attached to the hand of the manipulator have been performed.
KW - Fish catching
KW - Gazing
KW - Genetic algorithm (GA)
KW - Real-time recognition
KW - Visual servoing
UR - http://www.scopus.com/inward/record.url?scp=23044476631&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=23044476631&partnerID=8YFLogxK
U2 - 10.1109/TMECH.2005.848291
DO - 10.1109/TMECH.2005.848291
M3 - Article
AN - SCOPUS:23044476631
VL - 10
SP - 352
EP - 357
JO - IEEE/ASME Transactions on Mechatronics
JF - IEEE/ASME Transactions on Mechatronics
SN - 1083-4435
IS - 3
ER -