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

61 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

Access to Document

10.1109/TMECH.2005.848291

Fingerprint Dive into the research topics of 'Visual servoing to catch fish using global/local GA search'. Together they form a unique fingerprint.

Cite this

@article{7445ebf953894445b45d798622216bea,

title = "Visual servoing to catch fish using global/local GA search",

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.",

keywords = "Fish catching, Gazing, Genetic algorithm (GA), Real-time recognition, Visual servoing",

author = "Hidekazu Suzuki and Mamoru Minami",

year = "2005",

month = jun,

doi = "10.1109/TMECH.2005.848291",

language = "English",

volume = "10",

pages = "352--357",

journal = "IEEE/ASME Transactions on Mechatronics",

issn = "1083-4435",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

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 -

Visual servoing to catch fish using global/local GA search

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this