| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Outline of Final Research Achievements |
In this project, for assured safety in controlling an exoskeleton robot as an assistive device, machine learning methods based on hypocrisies involving a problem of human-robot-interaction were developed. The result of this research would provide exoskeleton assistive systems with assured safety or continuously functioning during assistive situations. For example, in the problem of joint torque estimation using electromyography, utilizing learned intermediate structures of distributed sensors, the estimation of the motor intention of the user can be continuously functioning, even one sensor channel or its wire is broken.
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