2019
Homography-Based Deep Visual Servoing Methods for Planar Grasps
IROS 2019poster
We propose a visual servoing framework for learning to improve grasps of objects. RGB and depth images from grasp attempts are collected using an automated data collection process. The data is then used to train a Grasp Quality Network (GQN) that predicts the outcome of grasps from visual informatio…