Evolutionary construction of swarm intelligence in a robotic swarm
| Project/Area Number |
25330307
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent robotics
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| Research Institution | Hiroshima University |
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Principal Investigator |
OHKURA KAZUHIRO 広島大学, 工学(系)研究科(研究院), 教授 (40252788)
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| Co-Investigator(Kenkyū-buntansha) |
YASUDA TOSHIYUKI 広島大学, 大学院工学研究院, 助教 (60435451)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | ロボティックスワーム / 群れ行動 / 進化型人工神経回路網 / 集合知 / 人工進化 |
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| Outline of Final Research Achievements |
In order to design the robot controller in a robotic swarm by an evolutionary artificial neural network, two types of computational resources are provided for conducting simulated experiments. In this project, we have done the first step toward the areas of evaluation and analysis of swarm intelligence in evolutionary robotic swarms. We have also done the physical robotic swarm experiments with faster processing to develop expected swarm behavior. In addition, the results of the artificial evolution of robotic swarm have been transferred to the physical robotic swarm to develop the similar swarm behavior. We believe that this project contributed to find the basics of the methodology of swarm intelligence by artificial evolution.
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Report
(4 results)
Research Products
(76 results)
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[Journal Article] An Extended SHADE and its Evaluations2014
Author(s)
Kazuhiro Ohkura, Toshiyuki Yasuda, Masaki Kadota, and Yoshiyuki Matsumura
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Journal Title
Proceedings of 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems
Volume: 1
Pages: 493-504
DOI
ISBN
9783319133553, 9783319133560
Related Report
Peer Reviewed
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