3 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
Efficient Object Rearrangement via Multi-view Fusion
Dehao Huang, Chao Tang, Hong Zhang
The prospect of assistive robots aiding in object organization has always been compelling. In an image-goal setting, the robot rearranges the current scene to match the single imag…
GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for Task-Oriented Grasping
Chao Tang, Dehao Huang, Wenqi Ge +2
Task-oriented grasping (TOG) refers to the problem of predicting grasps on an object that enable subsequent manipulation tasks. To model the complex relationships between objects,…
Task-Oriented Grasp Prediction with Visual-Language Inputs
Chao Tang, Dehao Huang, Lingxiao Meng +2
To perform household tasks, assistive robots receive commands in the form of user language instructions for tool manipulation. The initial stage involves selecting the intended too…
Relationship Oriented Affordance Learning through Manipulation Graph Construction
Chao Tang, Jingwen Yu, Weinan Chen +1
In this paper, we propose Manipulation Relationship Graph (MRG), a novel affordance representation which captures the underlying manipulation relationships of an arbitrary scene. T…