activity
20232026
most citedDexRepNet++: Learning Dexterous Robotic Manipulation with Geometric and Spatial Hand-Object Representations

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.RO2023

DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations

Qingtao Liu, Yu Cui, Qi Ye +5

Robotic dexterous grasping is a challenging problem due to the high degree of freedom (DoF) and complex contacts of multi-fingered robotic hands. Existing deep reinforcement learni…