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Comfort estimation during lift-up using nursing-care robot — RIBA

Ming Ding, Ryojun Ikeura, Toshiharu Mukai, Hiromichi Nagashima, Shinya Hirano, Kazuya Matsuo, Minghui Sun, Chang'an Jiang, Shigeyuki Hosoe

Year
2012
Citations
28

Abstract

In our research center, we have developed a nursing-care assistant robot - RIBA, which can lift up and transfer person between bed and wheelchair using its two human like arms. In this research, we develop a new method to estimate the comfortable feeling of human, which can help our robot - RIBA to find the best lifting-up motion automatically. By using a lifting-up model and optimizing a weighted evaluation function, we can calculate the lifting forces and the human joint torques during the lift-up. A weighted evaluation is used to reflect the change of comfortable feeling. We also carried out some experiments to check the model and the estimating method. During the lift-up, we measured subjects' EMG signal. And after the lift-up, questionnaires survey is conducted. The change trends between estimated and measured value show the effectiveness of the model and the method quantitatively and qualitatively.

Keywords

Lift (data mining)RobotWheelchairFeelingComputer scienceSimulationTorquePhysical medicine and rehabilitationArtificial intelligenceMedicine

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