Joint Segmentation and Grasp Pose Detection with Multi-Modal Feature Fusion Network
Xiaozheng Liu,Yunzhou Zhang,He Cao,Dexing Shan,Jiaqi Zhao,Xiaozheng Liu,Yunzhou Zhang,He Cao,Dexing Shan,Jiaqi Zhao
Efficient grasp pose detection is essential for robotic manipulation in cluttered scenes. However, most methods only utilize point clouds or images for prediction, ignoring the advantages of different features. In this paper, we present a multi-modal fusion network for joint segmentation and grasp pose detection. We design a point cloud and image co-guided feature fusion module that can be used to...
