Markov Logic Networks on semantic attribute relations predict multiple grasp affordances and map them to prototypical patches, enabling generalization to novel objects in robotic grasping.
Object- based affordances detection with convolutional neural networks and dense conditional random fields
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Learning Grasp Affordance Reasoning through Semantic Relations
Markov Logic Networks on semantic attribute relations predict multiple grasp affordances and map them to prototypical patches, enabling generalization to novel objects in robotic grasping.