2010 Fiscal Year Final Research Report
A Novel Data mining method for next-generation robots
| Project/Area Number |
20500181
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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 | Wakayama University |
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Principal Investigator |
NAKAMURA Takayuki Wakayama University, システム工学部, 准教授 (50291969)
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| Co-Investigator(Kenkyū-buntansha) |
WADA Toshikazu 和歌山大学, システム工学部, 教授 (00231035)
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| Project Period (FY) |
2008 – 2010
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| Keywords | 知能ロボット / データマイニング |
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| Research Abstract |
In this study, we challenge development of the novel modeling technique that is essential to a next-generation robot. We assume that our modeling technique has two functions. Function 1 detects the data which are short for modeling, and generates new data necessary for modeling by operating a robot. Function 2 is a function to choose only data necessary for modeling from a large amount of sampled data. When we controlled a 3-DOF manipulator using visual information, we examined the method based on the Kernel PCA method which can compress high-dimensional learning data using a non-linear mapping function to the low-dimensional data.
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