Grasp Prediction for Pneumatic Soft Hands via Proprioceptive Sensing
Although grasp prediction is well-established for rigid robotic hands, it remains particularly challenging for pneumatic soft hands due to their high compliance, nonlinear actuation, and limited sensing capabilities. To address these challenges, an integrated hardware-algorithm method is developed that leverages propri...