Deep neural networks are susceptible to generating overconfident yet
err...
Home-assistant robots have been a long-standing research topic, and one ...
We propose a new 6-DoF grasp pose synthesis approach from 2D/2.5D input ...
This paper investigates robot manipulation based on human instruction wi...
Shape informs how an object should be grasped, both in terms of where an...
Contemporary grasp detection approaches employ deep learning to achieve
...
We consider the task of grasping a target object based on a natural lang...
This paper presents a framework for predicting affordances of object par...
A human-in-the-loop system is proposed to enable collaborative manipulat...