サブリミナルキャリブレーションによる内部モデル修正支援

抄録

When human interacts with robots or machines, many skills such as cognition, planning, and control are involved. However, it is difficult to perform in every single one of these fields. Therefore, assist regarding human-machine operation has been actively researched. For instance, a method used to feedback surrounding information using a camera is used in automobiles. However, it has been reported that this method reduces human concentration. In order to solve this problem, assist methods using tactile feedback and force feedback has been proposed and demonstrated their usefulness as a way for humans to obtain feedback more naturally. Among them, we focused on subliminal calibration. Subliminal calibration is an algorithm that focuses on the process of acquiring skills and determines the value of the calibration so that the process doesn’t disturb the operator. The purpose of this research to enhance the operator’s skills in order to help him operate machines at will.