Real-Time Human-Reliability Estimation Addressing Next-Generation Robots Coping with Human Errors
| Project/Area Number |
19700198
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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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 | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
OGURE Takuya National Institute of Advanced Industrial Science and Technology, 知能システム研究部門, 研究員 (60415651)
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| Research Collaborator |
YOKOZUKA Masashi 宇都宮大学, 大学院・工学研究科, 博士課程
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2008: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2007: ¥2,600,000 (Direct Cost: ¥2,600,000)
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| Keywords | ディジタルヒューマンモデル / 人間信頼性評価 / ヒューマンファクタ / 次世代ロボット / バイオメカニクス / ロボット / 安全 / ヒューマンエラー / 熟練度 |
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| Research Abstract |
We showed a potential technology to avoid accidents in the next-generation robots, which are to be influenced adverse effects of human errors. These robots are expected to work alongside humans, where information of a variety of modality flows from the human. As human reliability depends on factors associated to one's personality, we demonstrated personal identification based on information of operational input of a robot, in order to claim certain type of next. generation robots fundamentally have possibility to identify their users before activate preventive measures of human errors.
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Report
(4 results)
Research Products
(4 results)
