Charalampos Evangelou

WaveletkAN Pose Refinement for Robot Bin Picking Driven by Cluttered RGB-D Point Clouds

WaveletkAN is a pose-refinement model based on RGB-D point clouds proposed in this paper to correct object pose hypotheses for dense bins with occlusion, specular depth noise, and self-similar industrial parts and can achieve robust and deployable pose correction for RGB-D robotic bin-picking systems.