Improving Data Efficiency of Self-supervised Learning for Robotic Grasping
Improving Data Efficiency of Self-supervised Learning for Robotic Grasping
Given the task of learning robotic grasping solely based on a depth camera input and gripper force feedback, we derive a learning algorithm from an applied point of view to significantly reduce the amount of required training data. Major improvements in time and data efficiency are achieved by: Firstly, we …