Open access
Mar 2026
DGS-Net: Learning Dexterous Grasps From Single-View Point Clouds via a Multi-Object Scene Dataset
Dexterous grasping in multi-object scenes remains a fundamental challenge for robotic manipulation, particularly under single-view perception where occlusion and incomplete geometry introduce significant uncertainty. To address this challenge, we propose DGS-Net, an end-to-end dexterous grasp prediction network that di...
Tao Geng, Da-Hai Yang, Zi-Wei Liu et al.
· IEEE Transactions on Automat... · 0 citations