Bangyu Li

Discriminative Active Learning for Robotic Grasping in Cluttered Scene

Robotic grasping is a challenging task due to the diversity of object shapes. A sufficiently labeled dataset is essential for the grasp pose detection methods based on deep learning. However, data annotation is a costly procedure. Active learning aims to mitigate the greedy need for massive labeled