| Project/Area Number |
24560308
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent mechanics/Mechanical systems
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| Research Institution | Tokyo University of Technology |
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Principal Investigator |
MATSUO Yoshiki 東京工科大学, コンピュータサイエンス学部, 教授 (90173806)
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| Co-Investigator(Kenkyū-buntansha) |
URAGAMI Daisuke 日本大学, 生産工学部, 助教 (40458196)
SEKIGUCHI Akinori 東京工科大学, コンピュータサイエンス学部, 講師 (80344612)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2012: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 人間機械協調 / 操作運動支援 / 知覚運動特性 / 生体信号計測 / 力操作 / 歩行運動 / 認知バイアス / 学習アルゴリズム / 知覚運動制御 / 脳計測 / 強化学習 / 操作支援 / 知能機械 / EEG / EMG / 力操作器 / 手動制御系 / 力学的作業支援 / 人-機械協調作業 / 脳血流計測 / リード型操作器 / 協調的操作支援 / 人－機械協調作業 |
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| Outline of Final Research Achievements |
In order to establish foundations for the development of methods that enables non-professional persons to maneuver intelligent machines such as robots, human characteristics of cognitive and sensory-motor functions are analyzed. Basic assistive methods are examined which are expected to be effective in developing human-oriented, easily-operated intelligent machines. Specifically, relationships between machine properties and human sensory-motor characteristics are investigated through experiments employing measurements of bio-signals such as EEG, EMG, and motion variables. Results show feasibility of building and evaluating manipulation systems using such bio-signals and effectiveness of a learning algorithm inspired by human cognitive biases.
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