TY - GEN
T1 - Prediction of fish motion by neural network
AU - Li, Y.
AU - Takezawa, Y.
AU - Suzuki, H.
AU - Minami, M.
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
T3 - Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005
SP - 217
EP - 222
BT - Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005
T2 - 3rd International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2005
Y2 - 20 September 2005 through 22 September 2005
ER -