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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mori, Keita Ito, Yuya Minami, Mamoru Yanou, Akira |
| Copyright Year | 2013 |
| Description | Author affiliation: Graduate school of Natural Science and Technology, Okayama University, Japan (Mori, Keita; Ito, Yuya; Minami, Mamoru; Yanou, Akira) |
| Abstract | In our laboratory, to make the intelligent robot, we executed fish's catch experiment by a robot, and compared the intelligence of both : robot's catching ability and fish's escaping ability. When experimenting repeatedly on catching and releasing, the fish began to generate evasive actions, for example staying at corners of the pool in which the fish swims. We tried to catch the fish using some strategies such as prediction servoing, chaos orbits and random motions to overcome the fish's escaping strategies. In this paper, we used visual servoing and prediction servoing in combinations with chaos orbits and random motions of the net. We have compared the number of captured fish—the relative intelligence quotient of the fish by comparing with robot and evasive action. Then we have confirmed the effective strategies, and evaluated the results we have experimented this time. |
| Starting Page | 1316 |
| Ending Page | 1321 |
| File Size | 709630 |
| Page Count | 6 |
| File Format | |
| ISBN | 9784907764432 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-14 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | The Society of Instrument and Control Engineers - SICE |
| Subject Keyword | Chaos Marine animals Visual servoing Artificial intelligence Real-time systems Visualization Fish Intelligence |
| Content Type | Text |
| Resource Type | Article |
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