Prediction servoing to catch escaping fish using neural network

Mamoru Minami, Toshiaki Yoshida

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

3 Citations (Scopus)

Abstract

This paper presents a method to predict a fish motion by Neural Network (N.N.) with on-line learning when a robot is pursuing fish-catching by a net at hand through hand-eye robot visual servoing. We have learned by previous experiments that fish is much smarter than a robot controlled by visual servoing whose escaping strategy is to make a steady state distance error between the net at robot's hand and the fish. To overcome the fish's escaping strategy we propose prediction servoing utilizing estimeted future fish position by on-line adjusting N.N.. The effectiveness have been proven through visual servoing and fish catching experiments.

Original languageEnglish
Title of host publicationProceedings of the 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008
Pages1225-1231
Number of pages7
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008 - Xi'an, China
Duration: Aug 2 2008Aug 5 2008

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Other

Other2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008
CountryChina
CityXi'an
Period8/2/088/5/08

ASJC Scopus subject areas

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

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  • Cite this

    Minami, M., & Yoshida, T. (2008). Prediction servoing to catch escaping fish using neural network. In Proceedings of the 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008 (pp. 1225-1231). [4601837] (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM). https://doi.org/10.1109/AIM.2008.4601837