Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter

2 March 2022

Papers citing "Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter"

5 / 5 papers shown

Title
Grasp the Graph (GtG) 2.0: Ensemble of GNNs for High-Precision Grasp Pose Detection in Clutter Ali Rashidi Moghadam Sayedmohammadreza Rastegari M. T. Masouleh Ahmad Kalhor 42 0 0 05 May 2025
Geometry Matching for Multi-Embodiment Grasping Maria Attarian Muhammad Adil Asif Jingzhou Liu Ruthrash Hari Animesh Garg Igor Gilitschenski Jonathan Tompson 33 13 0 06 Dec 2023
Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational Classifiers Yixuan Huang Nichols Crawford Taylor Adam Conkey Weiyu Liu Tucker Hermans 39 7 0 18 May 2023
Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers Yixuan Huang Adam Conkey Tucker Hermans 17 26 0 24 Sep 2022
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,109 0 02 Dec 2016