Clarification and application of Stochastic Resonance in State-Action Systems
| Project/Area Number |
24700193
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Osaka University |
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Principal Investigator |
IKEMOTO Shuhei 大阪大学, 情報科学研究科, 助教 (00588353)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2013: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2012: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 確率共鳴 / 生物規範アルゴリズム / 筋骨格ロボット |
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| Research Abstract |
Escherichia Coli is able to drive bacteria to high concentrations of nutrients despite the difficulties in precisely sensing the gradient. So far, we proposed the minimalistic behavioral rule (MBR), a minimalistic strategy to model the movement of animals in similar settings in which stochastic resonance is exploited. In this research, we have clarified the mechanism by which MBR exploits stochastic resonance in state-action systems, and confirmed its applicability to robot control.
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Report
(3 results)
Research Products
(15 results)
