Dataset of paper ‘An efficient pose classification method for robotic grasping’.

The dataset of paper ‘An efficient pose classification method for robotic grasping’. - score_grasps_20_average.tar.gz: It contains 47 single view point cloud files of common objects. We calculate a score for each point based on PointNetGPD.- normalized_positive_grasps.tar.gz: Positive sample grasping pose after aligning coordinates.- experiment result.rar: experiment data of paper. ‘default’ is original experimental data in PointNetGPD. ‘direct’ is experiment A data in this paper. ‘score’ is experiment B data in this paper.For the codes and detailed steps of PointNetGPD, please refer to the github website below: https://github.com/lianghongzhuo/PointNetGPD.