grasp multiObjectRobotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.
graspnet-baselineBaseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
obman render[cvpr19] Code to generate images from the ObMan dataset, synthetic renderings of hands holding objects (or hands in isolation)
multi-contact-graspingThis project implements a simulated grasp-and-lift process in V-REP using the Barrett Hand, with an interface through a python remote API.
GrabNetGrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)
drl graspingDeep Reinforcement Learning for Robotic Grasping from Octrees
kuka rlReinforcement Learning Experiments using PyBullet
graspnetAPIAPI for large scale benchmark of robotic grasping: GraspNet-1Billion: https://graspnet.net
gpgGenerate grasp pose candidates in point clouds
good robot"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer