Dense 3-axis tactile sensing and AI to implement human-like manual skills in robots
【研究キーワード】
Tactile Sensing / Machine Learning / Tactile sensors / Manual skills / Robots
【研究成果の概要】
We have further developed our tactile sensors. 368 3-axis tactile sensors cover the robot hand. Furthermore, we have further developed a robot hand that allows to cover the palmar side of the robot hand nearly completely with thick skin. We have also further developed the tactile sensors for human hands, which now allow measuring the contact position in addition to the contact force on the fingertip without covering the human skin that is in contact with the object. Moreover, we have used the tactile sensors embedded in robot hands and grippers for tactile AI. The robot was able to perform various in-hand manipulations, detect object properties, and predict grasp stability as well as detect slip. We use, implement and improve state of the art machine learning methods such as attention mechanisms, ensemble learning and graph neural networks.
【研究代表者】
【研究分担者】 |
尾形 哲也 | 早稲田大学 | 理工学術院 | 教授 | (Kakenデータベース) |
玉城 絵美 | 琉球大学 | 工学部 | 教授 | (Kakenデータベース) |
Somlor Sophon | 早稲田大学 | 理工学術院総合研究所(理工学研究所) | 次席研究員(研究院講師) | (Kakenデータベース) |
|
【研究種目】基盤研究(B)
【研究期間】2019-04-01 - 2022-03-31
【配分額】17,420千円 (直接経費: 13,400千円、間接経費: 4,020千円)