| Budget Amount *help |
¥12,740,000 (Direct Cost: ¥9,800,000、Indirect Cost: ¥2,940,000)
Fiscal Year 2012: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2011: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2010: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2009: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
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| Research Abstract |
The approach is based on the embodied/active perception of robot and prediction of object dynamics. Concretely the project completed the following three themes by utilizing recurrent neural network models and humanoid robots, such as (1) prediction and recognition of environmental sounds associated with object dynamics, (2) selective learning of self-body and other object based on predictability, and (3) tool-body assimilation model. The achievements of the project could be applied not only to engineering techniques but also to academic studies on cognitive science etc.
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