Human Grasp Contact Prediction

Grasp Contact Prediction is the task of predicting the contact points between an object and a hand (human or robotic), aiming to accurately determine the locations and modes of contact by analyzing the shape, material of the object, and the posture of the hand. This task is crucial for improving the precision of robotic grasping, optimizing human-computer interaction experiences, and enhancing haptic feedback in virtual reality.