Dexterous Grasp Transformer: Predicting Diverse and High-Quality Robotic Grasps from Object Point Clouds

The proposed Dexterous Grasp Transformer (DGTR) framework can efficiently predict a diverse set of feasible dexterous grasp poses by processing the input object point cloud in a single forward pass.