NDLI: Fish Catching by Adopting Neural Network and Chaos to Robotic Intelligence

Content Provider	IEEE Xplore Digital Library
Author	Jingyu, G. Minami, M. Mae, Y.
Copyright Year	2006
Description	Author affiliation: Graduate Sch. of Eng., Fukui Univ. (Jingyu, G.)
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
Starting Page	5126
Ending Page	5131
File Size	7714838
Page Count	6
File Format	PDF
ISBN	8995003847
DOI	10.1109/SICE.2006.315381
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-18
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	The Institute of Control, Automation and Systems
Subject Keyword	Intelligent robots Marine animals Neural networks Chaos Intelligent networks Machine vision Charge coupled devices Robot vision systems Charge-coupled image sensors Cameras Neural Network Visual Servoing Machine Intelligence 1-Step GA
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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