Fish catching by adopting neural network and chaos to robotic intelligence

Gao Jingyu, Mamoru Minami, Yasushi Mae

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

Abstract

In this paper we have dealt with prediction of fish motion under the vision system provided by CCD camera and embedded chaos motion into the system for more effective catching action. Fearing the tracking net attached at robot hand, the fish can suddenly change its escaping trajectory or speed up. Furthermore, as the time of tracking process flows, the fish can somewhat get accustomed to the environment and begin to learn new strategies about how to escape from the bothering net. For example, the fish tends to stay within a corner where it is forbidden for the net to reach for safety or stays away from the net by keeping a constant distance, which can be thought that the fishes know how to produce a steady-state error in a control loop of visual feedback. For the sake of such innate ability being widely existed in animal behavior, the effective intelligent method will need to be conceived to go beyond the fish intelligence. The purpose of this paper is to construct an intelligent system that is able to exceed the fish intelligence in order to track and catch the fish successfully like fish-eating animals in nature to survive.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Pages5126-5131
Number of pages6
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: Oct 18 2006Oct 21 2006

Other

Other2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of
CityBusan
Period10/18/0610/21/06

Fingerprint

Chaos theory
Fish
Robotics
Neural networks
Animals
Intelligent systems
End effectors
CCD cameras
Trajectories
Robots
Feedback

Keywords

  • 1-step GA
  • Chaos
  • Machine intelligence
  • Neural network
  • Visual servoing

ASJC Scopus subject areas

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

Cite this

Jingyu, G., Minami, M., & Mae, Y. (2006). Fish catching by adopting neural network and chaos to robotic intelligence. In 2006 SICE-ICASE International Joint Conference (pp. 5126-5131). [4108691] https://doi.org/10.1109/SICE.2006.315381

Fish catching by adopting neural network and chaos to robotic intelligence. / Jingyu, Gao; Minami, Mamoru; Mae, Yasushi.

2006 SICE-ICASE International Joint Conference. 2006. p. 5126-5131 4108691.

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

Jingyu, G, Minami, M & Mae, Y 2006, Fish catching by adopting neural network and chaos to robotic intelligence. in 2006 SICE-ICASE International Joint Conference., 4108691, pp. 5126-5131, 2006 SICE-ICASE International Joint Conference, Busan, Korea, Republic of, 10/18/06. https://doi.org/10.1109/SICE.2006.315381
Jingyu G, Minami M, Mae Y. Fish catching by adopting neural network and chaos to robotic intelligence. In 2006 SICE-ICASE International Joint Conference. 2006. p. 5126-5131. 4108691 https://doi.org/10.1109/SICE.2006.315381
Jingyu, Gao ; Minami, Mamoru ; Mae, Yasushi. / Fish catching by adopting neural network and chaos to robotic intelligence. 2006 SICE-ICASE International Joint Conference. 2006. pp. 5126-5131
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