| Project/Area Number |
08680409
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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 |
Intelligent informatics
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
FUKUNAGA Kunio Osaka Prefecture University, College of Engineering Professor, 工学部, 教授 (60081296)
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| Co-Investigator(Kenkyū-buntansha) |
KISE Kouichi Osaka Prefecture University, College of Engineering Assistant Professor, 工学部, 講師 (80224939)
TAKAMATSU Shinobu Osaka Sangyo University, College of Engineering Systems, Professor, 工学部, 教授 (00081290)
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| Project Period (FY) |
1996 – 1997
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| Project Status |
Completed (Fiscal Year 1997)
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| Budget Amount *help |
¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 1997: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 1996: ¥1,800,000 (Direct Cost: ¥1,800,000)
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| Keywords | Integrated Recognition Systems / Image Recognition / Speech Recognition / Dialogue Recognition / Moving Robot |
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| Research Abstract |
In the project, we discusses an integrated recognition system considering the fusion of speech information, image and visual information, and an active recognition system based on a dialogue to ask non understandable meanings or seeking a better point of view to recognize an object. In succession from the last fiscal year, also this year mainly discuss the following three points.
1. How or where an active recognition robot should move to recognize objects more clearly, in the case when a robot could not recognize under the given point of view ?
2. In the field of computer vision, a movement or behavior is represented by changes of 3-dimensional geometrical data. On the other hand, AI approaches such as inference or planning is not based on the expression of the geometrical data, but the expression of logical symbolic data. There has been a gap of data expression between AI approach and the field of computer vision. We propose a method of converting the 3-dimensional geometrical data into an expression of predicate logic based on the frame grammar, and examine the effectiveness of our approach.
3. We have made an active recognition robot to change a better point of view to recognize the object more clearly, and examine the effectiveness of robot actions.
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