HGC-Net: Deep Anthropomorphic Hand Grasping in Clutter
Yiming Li,Wei Wei,Daheng Li,Peng Wang,Wanyi Li,Jun Zhong,Yiming Li,Wei Wei,Daheng Li,Peng Wang,Wanyi Li,Jun Zhong
Grasping in cluttered environments is one of the most fundamental skills in robotic manipulation. Most of the current works focus on estimating grasp poses for parallel-jaw or suction-cup end effectors. However, the study for dexterous anthropomorphic hand grasping in clutter remains a great challenge. In this paper, we propose HGC-Net, a single-shot network that learns to predict dense hand grasp...
