Emergence of robotic intelligence by chaos for catching fish

Jun Hirao, Mamoru Minami, Yasushi Mae, Jingyu Gao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


In this paper we tackle a Fish-Catching task under a visual feedback hand-eye robotic system with a catching net. Taken into consideration of emotional aspect, the fish can suddenly change its escaping trajectory or speed up when being threatened as the net attached at hand approaches to it. As the time of tracking and catching process flows, the fish can somewhat get accustomed to the net motion pattern and gradually find out new strategies on how to escape from the bothering net. For the sake of such innate ability being widely existed in animal behavior, the catching operation becomes tough and some effective intelligent method needs to be conceived to go beyond the fish intelligence. The purpose of this paper is to construct intelligent system to be able to exceed the fish intelligence in order to track and catch the fish successfully. Then we embed chaotic motion into the net motion to realize a kind of robotic intelligence, and we have shown the chaotic net motion can overcome the fish escaping strategies.

Original languageEnglish
Title of host publicationSICE Annual Conference, SICE 2007
Number of pages7
Publication statusPublished - 2007
Externally publishedYes
EventSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan
Duration: Sept 17 2007Sept 20 2007

Publication series

NameProceedings of the SICE Annual Conference


OtherSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007


  • Chaos
  • Gazing GA
  • Intelligent

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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