arxivcs.RO2026-07-20
Predicting Grasping Compliance in Robotic Hands through Analytical-Model-Informed Neural Networks
In robotic manipulation studies, grasping is often treated as a binary success or failure problem, usually defined by whether the object simply stays in the hand. For forceful tool use, however, this view is insufficient because grasp compliance becomes a critical factor governin…