Jianhua Qiu

FFBGNet: Full-Flow Bidirectional Feature Fusion Grasp Detection Network Based on Hybrid Architecture

Effectively integrating the complementary information from RGB-D images presents a significant challenge in robotic grasping. In this letter, we propose a full-flow bidirectional feature fusion grasp detection network (FFBGNet) based on a hybrid architecture to generate accurate grasp poses from RGB