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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Prediction of Fish Motion by Neural Network
verfasst von : Y. Li, Y. Takezawa, H. Suzuki, M. Minami, Y. Mae
Erschienen in: Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005)
Verlag: Springer Berlin Heidelberg
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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.