Jacquard dataset
Standford Grasping：10 object，13747 RGB Images，13747 Depth Images
Cornell Grasping：240 object，885 RGB Images，885 Depth Images
YCB Benchmarks：77 object，46200 RGB Images，46200 Depth Images
CMU dataset：150+object，50567 RGB Images
Google dataset：800000 RGB Images
Dex-Net 1.0：150+object，50567 RGB Images
Dex-Net 2.0：150+object，50567 RGB Images
JACQUARD：11619object，54485 RGB Images，108970Depth Images
抓取路径规划数据集：
1、Supersizingself-supervision: Learning to grasp from 50k tries and 700 robot hours.
2、Learning hand-eyecoordination for robotic grasping with deep learning and large-scale datacollection.
3、Multimodal grasp dataset: A novel visual–tactile data set for robotic manipulation.
抓取仿真：
1、Graspit! a versatile simulator for robotic grasping.
2、Opengrasp: A toolkit for robot grasping simulation.
3、Deep reinforcement learning for vision-based robotic grasping: Asimulated comparative evaluation of offpolicy methods.
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原文链接：https://blog.csdn.net/Yong_Qi2015/article/details/104352197