Jacquard dataset

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.


版权声明:本文为 CSDN 博主「3 D视觉工坊」的原创文章,遵循 CC 4.0 BY-SA 版权协议,转载请附上原文出处链接及本声明。
原文链接:https://blog.csdn.net/Yong_Qi2015/article/details/104352197