GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp
Detection

GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection

21 October 2020

Hung-Ting Su

Papers citing "GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection"

6 / 6 papers shown

Title
Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking Yushi Liu Alexander Qualmann Zehao Yu Miroslav Gabriel Philipp Schillinger Markus Spies Ngo Anh Vien Andreas Geiger 27 4 0 10 May 2024
ICGNet: A Unified Approach for Instance-Centric Grasping René Zurbrugg Yifan Liu Francis Engelmann Suryansh Kumar Marco Hutter Vaishakh Patil Fisher Yu 3DV 18 9 0 18 Jan 2024
A Simple Approach for General Task-Oriented Picking using Placing constraints Jen-Wei Wang Lingfeng Sun Xinghao Zhu Q. Qian M. Tomizuka 23 3 0 03 Apr 2023
Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input Yiye Chen Yunzhi Lin Ruinian Xu Patricio Vela 3DV 3DPC 21 10 0 19 Sep 2022
Deep Learning Approaches to Grasp Synthesis: A Review Rhys Newbury Morris Gu Lachlan Chumbley Arsalan Mousavian Clemens Eppner ... A. Morales Tamim Asfour Danica Kragic D. Fox Akansel Cosgun 22 160 0 06 Jul 2022
GKNet: grasp keypoint network for grasp candidates detection Ruinian Xu Fu-Jen Chu Patricio A. Vela 3DPC 22 37 0 16 Jun 2021