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 |
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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 |
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