Creation of Developmental Object Recognition Mechanism and Motion Generation for Robot using Neural Network Model
| Project/Area Number |
23800033
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kyoto University |
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Principal Investigator |
NISHIDE Shun 京都大学, 白眉センター, 特定助教 (30613400)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 神経回路モデル / 知能ロボット / 知能ロボティクス / 人工知能 / ニューラルネットワーク / アフォーダンス |
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| Research Abstract |
In this research, we realized autonomous extraction of object recognition features and tool using motion generation based on object manipulation task of a robot. A recurrent neural network was utilized as the robot’s body model to learn the robot’s motions and the environmental change. During tool using experiments, the robot was capable of identifying the untrained L-shaped tool based on experiences with T- and I-shaped tools, to generate pulling motions for a target object.
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Report
(3 results)
Research Products
(35 results)
