44 citations · 60 across the 11 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.RO2019★ 1 cited
Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures
Hengyue Liang, Xibai Lou, Yang Yang +1
This paper introduces a challenging object grasping task and proposes a self-supervised learning approach. The goal of the task is to grasp an object which is not feasible with a s…
cs.RO2019★ 2 cited
A Deep Learning Approach to Grasping the Invisible
Yang Yang, Hengyue Liang, Changhyun Choi
We study an emerging problem named "grasping the invisible" in robotic manipulation, in which a robot is tasked to grasp an initially invisible target object via a sequence of push…