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 1 2005 |
| Externally published | Yes |
Keywords
- Fish catching
- Gazing
- Genetic algorithm (GA)
- Real-time recognition
- Visual servoing
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
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Cite this
Suzuki, H., & Minami, M. (2005). Visual servoing to catch fish using global/local GA search. IEEE/ASME Transactions on Mechatronics, 10(3), 352-357. https://doi.org/10.1109/TMECH.2005.848291