Prediction of fish motion by neural network

Y. Li, Y. Takezawa, H. Suzuki, M. Minami, Y. Mae

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

6 Citations (Scopus)

Abstract

This paper presents a prediction method of future position of a fish using a Neural Network. Our previous experiments to catch fishes using a robot with visual feedback has shown that even a small fish can find some ways by itself to escape from catching net. So we started a research to make more intelligent robot than a fish. As the first step, we tried to predict its future position using a neural network. Experimental results using a swimming real fish show that the proposed method can predict the motion of fish.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005
Pages217-222
Number of pages6
DOIs
Publication statusPublished - Dec 1 2006
Externally publishedYes
Event3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005 - Fukui, Japan
Duration: Sep 20 2005Sep 22 2005

Publication series

NameProceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005

Other

Other3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005
CountryJapan
CityFukui
Period9/20/059/22/05

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Education

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  • Cite this

    Li, Y., Takezawa, Y., Suzuki, H., Minami, M., & Mae, Y. (2006). Prediction of fish motion by neural network. In Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005 (pp. 217-222). (Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005). https://doi.org/10.1007/3-540-29344-2_32