Developing plastic swarm intelligent systems based on swarm robotics
| Project/Area Number |
22500175
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Hiroshima University |
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Principal Investigator |
OHKURA Kazuhiro 広島大学, 大学院・工学研究院, 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) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | スワームロボティクス / 自己組織化 / 構造進化型人工神経回路網 / 進化型人工神経回路網 / GPUコンピューティング / 自律的機能分化 / 可塑性 / 進化ロボティクス |
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| Research Abstract |
Recently, the research on behavior control of groups of robots called Swarm Robotics (SR) has come to take a great deal of attention. However, the conventional approach to the swarm behavior control based on self-organizing principle can solve only simple tasks such as "to be set to fixed-point" or "away from each other". In order to overcome this limitation and solve more complex tasks to expand new application fields, a new theory of building a plastic swarm intelligent system is built based on MBEANN, which is a kind of Topology and Weight Evolving Artificial Neural Network developed by our research group.
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Report
(4 results)
Research Products
(163 results)
