Visual servoing to catch fish using global/local GA search

Hidekazu Suzuki; Mamoru Minami

doi:10.1109/TMECH.2005.848291

Visual servoing to catch fish using global/local GA search

Hidekazu Suzuki, Mamoru Minami

Research output: Contribution to journal › Article › peer-review

60 Citations (Scopus)

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	https://doi.org/10.1109/TMECH.2005.848291
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

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