表題番号：2022Q-009
日付：2023/02/09
研究課題Dense 3-axis tactile sensing and AI to implement human-like manual skills in robots
| 研究者所属（当時） | 資格 | 氏名 | |
|---|---|---|---|
| （代表者） | 理工学術院 大学院創造理工学研究科 | 准教授 | シュミッツ アレクサンダー |
- 研究成果概要
- We are developing small sized, distributed 3-axis tactile force sensors. The sensors are magnetic, and therefore prone to magnetic interference. Using reference sensors, we successfully implemented an algorithm to avoid this magnetic interference. We also implemented a calibration method so that the sensors provide output in Newton. This makes it possible to use the sensors for force control and it also eliminates differences between different sensing points. We also implemented the sensors in the form of a thimble, which can be worn by humans. This can be used in the future to monitor humans, as well as transfer skills from humans to robots. Furthermore, we implemented and evaluated several algorithms to detect and predict slip.