miscellaneous-20
Robotic Grasping
3260 papers • 126 benchmarks • 313 datasets
This task is composed of using Deep Learning to identify how best to grasp objects using robotic arms in different scenarios. This is a very complex task as it might involve dynamic environments and objects unknown to the network.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in robotic-grasping-40
Trend
Dataset
Best Model
Actions
Cornell Grasp Dataset
Cornell Grasp Dataset
Jacquard dataset
Jacquard dataset
GraspNet-1Billion
Libraries
iUse these libraries to find robotic-grasping-40 models and implementations
Datasets
No datasets available.
