Design and Development of a Material-Aware Adaptive Grasping Robotic Hand

A low-cost adaptive robotic hand uses imitation learning to replicate human grasping. A sensor glove captures finger motion and force data to train a model that identifies object materials and predicts optimal grip positions and forces. Controlled by an ESP32, the system enables safe, reliable handling of diverse objects.