| Budget Amount *help |
¥15,990,000 (Direct Cost: ¥12,300,000、Indirect Cost: ¥3,690,000)
Fiscal Year 2013: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2012: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2011: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
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| Outline of Final Research Achievements |
We have been developing a helper robot that is able to fetch objects requested by users. Such a robot must recognize the desired object(s) in order to carry out its tasks. However, it is difficult for a system to recognize objects autonomously without fail under various real-world conditions. To address this problem, we have proposed an integrated object recognition system. The system first attempts autonomous object recognition. If it fails, it switches to an interactive object recognition mode where the system asks the user to verbally provide information about the object that it is unable to detect autonomously. However, natural language descriptions from humans can be complex. Such descriptions may not even have a one-to-one correspondence to the physical attributes of objects. We have constructed an ontology for representing such complex relationships between human descriptions and physical attributes and developed a method to recognize objects based on this ontology.
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