Autonomous Achievement of Concept Structure for Event Recognition by a Robot
Project/Area Number |
21760189
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Intelligent mechanics/Mechanical systems
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Research Institution | The University of Tokyo |
Principal Investigator |
WAKUDA Yuki 東京大学, 大学院・情報学環, 特任助教 (00377847)
|
Project Period (FY) |
2009 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2009: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
|
Keywords | 概念獲得 / オントロジ / シーンアナリシス / コンテキストアウェア / 因果律獲得 / 状況認識 / 画像認識 / 人工知能 |
Research Abstract |
The target of the present study is to achieve a flexible interpretation ability and the briefing ability to the dynamic event which is including the causality on the robot. A concrete purpose of this study is to acquire and to structurize the conceptual structure independently by the robot. We have proposed the conceptual structure "Cognitive Ontology" to interpret the event of the real world that the robot observed. In this research project, we divide our research target into the following four research topics: 1) Realization of a function to execute recognition of color, geometry pattern, structure, and movement orbit in rapid way. 2) Achievement of technology that robot can selects and renews a target object of attention for composes causal relation based on forecast of objects’ interaction. 3) The function automatically to extract and to acquire conceptual structure while in real time observing it. 4) Active acknowledgement function of Cognitive Ontology based on interaction between the robot and an observed objects or events.
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Report
(3 results)
Research Products
(3 results)