Kangjian Zhu

A Cross-view Fusion Framework for Robust 6-DoF Grasp Pose Estimation

In this paper, we propose a cross-view fusion framework that enhances the robustness of 6-DoF grasp pose estimation in corner views.Our framework alleviates occlusion by incorporating an auxiliary view and avoids the time-consuming, task-agnostic multi-view reconstruction through a post-fusion strat