米国マサチューセッツ工科大学のHermano Igo Krebs博士らとともに、Robot-aided neuro-rehabilitationに関する研究を実施した。人間が力を生成する仕組みの解明に取り組み「人間が発生させ得る力の微分値は十分に大きく、応答速度は視覚情報に起因すること」、「人間は先の動作を予想し、動作の改善を図っていること」、「力の微分値に関して重ね合わせの法則が成立すること」等が示唆された。また、距離、角度、力を同時に測定可能な新たな近接覚センサを開発することに成功した。研究成果はIF 8.236 の国際論文誌への掲載や電気学会本部表彰の受賞など高い評価を得るに至った。
We conducted research on robot-assisted neuro-rehabilitation with Dr. Hermano Igo Krebs and colleagues at the Massachusetts Institute of Technology in the United States. Three types of tests, Discrete Movement, Rhythmic Movement, and Target Transition, were conducted to clarify the mechanism of human force generation. The results suggest that "the differential value of the force that humans can generate is sufficiently large, and that the response speed is due to visual information," "humans anticipate slight future movements and try to improve their movements," and "the law of superposition holds for the differential value of force. In addition, we succeeded in developing a new proximity sensor that can simultaneously measure distance, angle, and force. The research results were published in an international journal with Impact Factor 8.236 and received an award from the Institute of Electrical Engineers of Japan.

研究種目 : 国際共同研究加速基金 (国際共同研究強化 (A))
研究期間 : 2020～2023
課題番号 : 19KK0367
研究分野 : ロボット工学