Measurement of fish's learning speed using antagonistic relation of robot and fish

Mamoru Minami, Akira Yanou

Research output: Contribution to journalArticle

Abstract

This paper describes fish's intelligent strategies for survival observed in the hostile situation between robot and fish. The robot pursues catching fish by a net attached at robot's hand through visual servoing of hand-eye manipulator, whose real-time tracking method utilizes an optimization technique of a genetic algorithm (GA) in order to track swimming fish hastily and precisely. Through catching/releasing experiments conducted consecutively, it has been shown the fact that the fish possess an ability to produce avoiding behaviors by their own intelligence against a robot that constantly tracks the fish to try to catch them by net. This means that the fish have come up with ideas to escape from the exhaustless robot while saving their limited energy. In this paper we propose a method to measure fish's learning speed by comparing the behavior of fish with that of robots taking consistent hostile action of catching fish.

Original languageEnglish
Pages (from-to)1728-1735
Number of pages8
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume79
Issue number801
DOIs
Publication statusPublished - 2013

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Fish
Robots
End effectors
Visual servoing
Manipulators
Genetic algorithms

Keywords

  • Gazing-ga
  • Image recognition
  • Intelligence quotient
  • Intelligent equipment
  • Robot
  • Visual servoing

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Industrial and Manufacturing Engineering

Cite this

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