Prediction of fish motion by neural network

Y. Li, Y. Takezawa, H. Suzuki, Mamoru 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 - 2006
Externally publishedYes
Event3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005 - Fukui, Japan
Duration: Sep 20 2005Sep 22 2005

Other

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

Fingerprint

robot
neural network
Fish
Neural networks
experiment
Intelligent robots
Robots
Feedback
Experiments

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Education

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) https://doi.org/10.1007/3-540-29344-2_32

Prediction of fish motion by neural network. / Li, Y.; Takezawa, Y.; Suzuki, H.; Minami, Mamoru; Mae, Y.

Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005. 2006. p. 217-222.

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

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, 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005, Fukui, Japan, 9/20/05. https://doi.org/10.1007/3-540-29344-2_32
Li Y, Takezawa Y, Suzuki H, Minami M, Mae Y. Prediction of fish motion by neural network. In Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005. 2006. p. 217-222 https://doi.org/10.1007/3-540-29344-2_32
Li, Y. ; Takezawa, Y. ; Suzuki, H. ; Minami, Mamoru ; Mae, Y. / Prediction of fish motion by neural network. Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005. 2006. pp. 217-222
@inproceedings{93827c7b91f047fcb35c935e86e824f3,
title = "Prediction of fish motion by neural network",
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.",
author = "Y. Li and Y. Takezawa and H. Suzuki and Mamoru Minami and Y. Mae",
year = "2006",
doi = "10.1007/3-540-29344-2_32",
language = "English",
isbn = "3540284966",
pages = "217--222",
booktitle = "Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005",

}

TY - GEN

T1 - Prediction of fish motion by neural network

AU - Li, Y.

AU - Takezawa, Y.

AU - Suzuki, H.

AU - Minami, Mamoru

AU - Mae, Y.

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84878620523&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84878620523&partnerID=8YFLogxK

U2 - 10.1007/3-540-29344-2_32

DO - 10.1007/3-540-29344-2_32

M3 - Conference contribution

AN - SCOPUS:84878620523

SN - 3540284966

SN - 9783540284963

SP - 217

EP - 222

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

ER -