2 citations · 2 across the 2 of their papers we have counts for
4 papers
Attribute-Based Robotic Grasping with One-Grasp Adaptation
Yang Yang, Yuanhao Liu, Hengyue Liang +2
Robotic grasping is one of the most fundamental robotic manipulation tasks and has been actively studied. However, how to quickly teach a robot to grasp a novel target object in cl…
Collision-Aware Target-Driven Object Grasping in Constrained Environments
Xibai Lou, Yang Yang, Changhyun Choi
Grasping a novel target object in constrained environments (e.g., walls, bins, and shelves) requires intensive reasoning about grasp pose reachability to avoid collisions with the…
Learning to Generate 6-DoF Grasp Poses with Reachability Awareness
Xibai Lou, Yang Yang, Changhyun Choi
Motivated by the stringent requirements of unstructured real-world where a plethora of unknown objects reside in arbitrary locations of the surface, we propose a voxel-based deep 3…
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…