论文标题
边缘掌握网络：基于图的SE（3） - 引起的抓取检测方法
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection
论文作者
论文摘要
给定的点云输入，6-DOF GRASP姿势检测的问题是识别SE（3）中的一组手姿势，可以从中成功掌握一个物体。这个重要的问题有许多实际应用。在这里，我们提出了一种新颖的方法和神经网络模型，该模型可以更好地掌握与文献相比的成功率。该方法将标准点云数据作为输入，并与从任意查看方向观察到的单视点云很好地配合使用。
Given point cloud input, the problem of 6-DoF grasp pose detection is to identify a set of hand poses in SE(3) from which an object can be successfully grasped. This important problem has many practical applications. Here we propose a novel method and neural network model that enables better grasp success rates relative to what is available in the literature. The method takes standard point cloud data as input and works well with single-view point clouds observed from arbitrary viewing directions.
