Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 06, 2021 - June 08, 2021
We propose a deep reinforcement learning method to learn to produce grasping strategies using 3D point clouds as input. We facilitate a training process by using a tensor-based distributed training framework to perform many trial-and-errors with a wide variety of objects. Our approach greatly increases the number of object categories that can be handled and exhibits a strong generalization ability to grasp unknown object categories.