2015
Generating multi-fingered robotic grasps via deep learning
IROS 2015poster
This paper presents a deep learning architecture for detecting the palm and fingertip positions of stable grasps directly from partial object views. The architecture is trained using RGBD image patches of fingertip and palm positions from grasps computed on complete object models using a grasping si…