Robotics approach toward understanding of common neural architecture in tool-use and language
| Project/Area Number |
22700203
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kansai University (2011-2012)
Osaka University (2010) |
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Principal Investigator |
OGINO Masaki 関西大学, 総合情報学部, 准教授 (00397639)
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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 |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 行動環境認識 / ニューラルネットワーク / 言語 / 道具使用 / ロボット / 階層モデル / 統語と運動制御 / 言語と運動 |
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| Research Abstract |
It is suggested that mirror neuron system takes important role in the faculty to treat the hierarchical structure of both language and tool. In this study, as the sharing information processing in tool-use and language processing, we proposed a layered network that enables nesting procedure. The model was validated by demonstration of nesting tool-use with a simulation robot model. For the further application of temporal information, the fundamental characteristics in application of the layered network were investigated.
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Report
(4 results)
Research Products
(15 results)
