Tactile-based grasping stability prediction based on human grasp demonstration for robot manipulation
(2024)
Journal Article
To minimize irrelevant and redundant information in tactile data and harness the dexterity of human hands. In this paper, we introduce a novel binary classification network with normalized differential convolution (NDConv) layers. Our method leverage... Read More about Tactile-based grasping stability prediction based on human grasp demonstration for robot manipulation.