Learning deep networks from large simulation datasets is a promising approach for robot
grasping, but previous work has so far been limited to the simplified problem of overhead …

Learning deep networks from large simulation datasets is a promising approach for robot
grasping, but previous work has so far been limited to the simplified problem of overhead …

Learning deep networks from large simulation datasets is a promising approach for robot
grasping, but previous work has so far been limited to the simplified problem of overhead …

Learning deep networks from large simulation datasets is a promising approach for robot
grasping, but previous work has so far been limited to the simplified problem of overhead …

Learning deep networks from large simulation datasets is a promising approach for robot
grasping, but previous work has so far been limited to the simplified problem of overhead …

Objectives• Present a method for generating large amount of grasping data using physics
simulation;• Design a deep learning architecture to predict if a hand model can successfully …