Grasp Posture Control of Wearable Extra Robotic Fingers with Flex Sensors Based on Neural Network
This study proposes a data-driven control method of extra robotic fingers to assist a user in bimanual object manipulation that requires two hands. The robotic system comprises two main parts, i.e., robotic thumb (RT) and robotic fingers (RF). The RT is attached next to the user’s thumb, while the R...
|Main Authors:||, , , , ,|