DGCM-Net: Dense Geometrical Correspondence Matching Network for
Incremental Experience-based Robotic Grasping

DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping

15 January 2020

Markus Vincze

Papers citing "DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping"

5 / 5 papers shown

Title
Perceiving Unseen 3D Objects by Poking the Objects Linghao Chen Yunzhou Song Hujun Bao Xiaowei Zhou 42 9 0 26 Feb 2023
COPE: End-to-end trainable Constant Runtime Object Pose Estimation S. Thalhammer T. Patten Markus Vincze 3DPC 28 14 0 18 Aug 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 Dieter Fox Akansel Cosgun 40 162 0 06 Jul 2022
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation Bowen Wen Wenzhao Lian Kostas Bekris S. Schaal 24 74 0 19 Sep 2021
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017