| Budget Amount *help |
¥23,530,000 (Direct Cost: ¥18,100,000、Indirect Cost: ¥5,430,000)
Fiscal Year 2019: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2018: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2017: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2016: ¥12,350,000 (Direct Cost: ¥9,500,000、Indirect Cost: ¥2,850,000)
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| Outline of Final Research Achievements |
In this research project, we focused on constructing a developmental robot drawing model based on human's acquisition of drawing actions. Some main contributions in this project include construction of a developmental robot drawing model using neural network model, learning and generation of human's drawing sequence using neural network model, and development of hierarchical learning method for efficient learning of drawing sequences. Using an arm robot as an experimental platform, we established a basis of a method to hierarchically learn drawing of shapes from random motions (babbling motions).
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