Abstract
In this paper we tackle a Fish-Catching task under a visual feedback hand-eye system with catching net. As the time of tracking and catching process continues, and releasing the caught immediately into the same pool, then the fish can somewhat get accustomed to the net motion pattern and gradually find out new strategies on how to escape from the pursuing net. For the sake of such innate ability being widely existed in animal's behavior, the catching operation becomes tough and some effective intelligent method is needed to be conceived to go beyond the fishes' intelligence. The purpose of this paper is to construct intelligent system to exceed the fishes' intelligence in order to track and catch the fish successfully. Then we embed chaotic motion into the net motion of robot for better performance, and we have shown the chaotic net motion can overcome the fishes' escaping strategies.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the SICE Annual Conference |
| Pages | 1957-1962 |
| Number of pages | 6 |
| Publication status | Published - 2010 |
| Event | SICE Annual Conference 2010, SICE 2010 - Taipei, Taiwan, Province of China Duration: Aug 18 2010 → Aug 21 2010 |
Other
| Other | SICE Annual Conference 2010, SICE 2010 |
|---|---|
| Country | Taiwan, Province of China |
| City | Taipei |
| Period | 8/18/10 → 8/21/10 |
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Keywords
- Chaos
- Emergence
- GA
- Intelligent system
- Neural network
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Science Applications
Cite this
Intelligent chaos Fish-Catching based on neural-network-differential- equation. / Endo, Ryohei; Hirao, Jun; Minami, Mamoru.
Proceedings of the SICE Annual Conference. 2010. p. 1957-1962 5602684.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Intelligent chaos Fish-Catching based on neural-network-differential- equation
AU - Endo, Ryohei
AU - Hirao, Jun
AU - Minami, Mamoru
PY - 2010
Y1 - 2010
N2 - In this paper we tackle a Fish-Catching task under a visual feedback hand-eye system with catching net. As the time of tracking and catching process continues, and releasing the caught immediately into the same pool, then the fish can somewhat get accustomed to the net motion pattern and gradually find out new strategies on how to escape from the pursuing net. For the sake of such innate ability being widely existed in animal's behavior, the catching operation becomes tough and some effective intelligent method is needed to be conceived to go beyond the fishes' intelligence. The purpose of this paper is to construct intelligent system to exceed the fishes' intelligence in order to track and catch the fish successfully. Then we embed chaotic motion into the net motion of robot for better performance, and we have shown the chaotic net motion can overcome the fishes' escaping strategies.
AB - In this paper we tackle a Fish-Catching task under a visual feedback hand-eye system with catching net. As the time of tracking and catching process continues, and releasing the caught immediately into the same pool, then the fish can somewhat get accustomed to the net motion pattern and gradually find out new strategies on how to escape from the pursuing net. For the sake of such innate ability being widely existed in animal's behavior, the catching operation becomes tough and some effective intelligent method is needed to be conceived to go beyond the fishes' intelligence. The purpose of this paper is to construct intelligent system to exceed the fishes' intelligence in order to track and catch the fish successfully. Then we embed chaotic motion into the net motion of robot for better performance, and we have shown the chaotic net motion can overcome the fishes' escaping strategies.
KW - Chaos
KW - Emergence
KW - GA
KW - Intelligent system
KW - Neural network
UR - http://www.scopus.com/inward/record.url?scp=78649258181&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649258181&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:78649258181
SN - 9784907764364
SP - 1957
EP - 1962
BT - Proceedings of the SICE Annual Conference
ER -