Grasp Affordance
Introduced by Ardón et al. in Learning Grasp Affordance Reasoning through Semantic Relations
This is a dataset for visual grasp affordance prediction that promotes more robust and heterogeneous robotic grasping methods. The dataset contains different attributes from 30 different objects. Each object instance is related not only to the semantic descriptions, but also the physical features describing visual attributes, locations and different grasping regions related to a variety of actions.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
