| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
In order for a robot to operate in a real environment, it is inevitable to physically interact with diverse objects including human. Such a robot would face to diverse situation, and it is necessary to integrate various sensory input and take appropriate action based on the observation. For this aim, I developed a reinforcement learning method for a robot where the required sensory input is extracted from multi-modal sensory input and a sampling based roadmap method which considers the confidence of the modelling. I also developed a robot socially interact with the human in a real environment.
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