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

<b>The dataset of paper ‘An efficient pose classification method for robotic grasping’. </b><br><b>- 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.</b><b>- normalized_positive_grasps.tar.gz: Positive sample grasping pose after aligning coordinates.</b><b>- experiment result.rar: experiment data of paper.</b><b><br></b><b> ‘default’ is original experimental data in PointNetGPD.</b><b> ‘direct’ is experiment A data in this paper.</b><b> ‘score’ is experiment B data in this paper.</b><br><b>For the codes and detailed steps of PointNetGPD, please refer to the github website below: https://github.com/lianghongzhuo/PointNetGPD.</b>