Quantitative Analysis and Optimal Design of Grasp Augmentation of Supernumerary Robotic Finger Based on Pose Solving
Supernumerary robotic finger (SRF) is a wearable robot that achieves motion enhancement by augmenting additional limbs for the human body, however the grasp augmentation effect is limited. To address this problem, a maximum graspable sphere solution method based on SRF and hand pose is investigated to enhance the grasping ability