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Peiyuan Ni

2 accepted papers

2023

PanelPose: A 6D Pose Estimation of Highly-Variable Panel Object for Robotic Robust Cockpit Panel Inspection

IROS 2023poster

In robotic cockpit inspection scenarios, the 6D pose of highly-variable panel objects is necessary. However, the buttons with different states on the panel cause the variable texture and point cloud, which confuses the traditional invariable object pose estimation method. The bottleneck is the varia…

Cited by 2SourcecodeScholar
2020

PointNet++ Grasping: Learning An End-to-end Spatial Grasp Generation Algorithm from Sparse Point Clouds

ICRA 2020poster

Grasping for novel objects is important for robot manipulation in unstructured environments. Most of current works require a grasp sampling process to obtain grasp candidates, combined with local feature extractor using deep learning. This pipeline is time-costly, expecially when grasp points are sp…

Cited by 163SourcecodeScholar