Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes

被引：0
|
作者：
Sundermeyer, Martin [1 ,2 ,3 ]
Mousavian, Arsalan [1 ]
Triebel, Rudolph [2 ,3 ]
Fox, Dieter [1 ,4 ]
机构：
[1] NVIDIA, United States
[2] GermanAerospace Center (DLR), Germany
[3] Technical University of Munich (TUM), Germany
[4] University of Washington, United States
来源：
Proceedings - IEEE International Conference on Robotics and Automation | 2021年 / 2021-May卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Failure analysis
引用
收藏
页码：3133 / 3139
相关论文
共 50 条
  • [1] Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
    Sundermeyer, Martin
    Mousavian, Arsalan
    Triebel, Rudolph
    Fox, Dieter
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 13438 - 13444
  • [2] Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes
    Chen, Siang
    Tang, Wei
    Xie, Pengwei
    Yang, Wenming
    Wang, Guijin
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 8 (08) : 4895 - 4902
  • [3] 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
    Mousavian, Arsalan
    Eppner, Clemens
    Fox, Dieter
    2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, : 2901 - 2910
  • [4] Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes
    Ma, Haoxiang
    Huang, Di
    CONFERENCE ON ROBOT LEARNING, VOL 205, 2022, 205 : 2004 - 2013
  • [5] GraNet: A Multi-Level Graph Network for 6-DoF Grasp Pose Generation in Cluttered Scenes
    Wang, Haowen
    Niu, Wanhao
    Zhuang, Chungang
    2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS, 2023, : 937 - 943
  • [6] PP-GraspNet: 6-DoF grasp generation in clutter using a new grasp representation method
    Li, Enbo
    Feng, Haibo
    Fu, Yili
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2023, 50 (03): : 496 - 504
  • [7] VL-Grasp: a 6-Dof Interactive Grasp Policy for Language-Oriented Objects in Cluttered Indoor Scenes
    Lu, Yuhao
    Fan, Yixuan
    Deng, Beixing
    Liu, Fangfu
    Li, Yali
    Wang, Shengjin
    2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS, 2023, : 976 - 983
  • [8] High Precision 6-DoF Grasp Detection in Cluttered Scenes Based on Network Optimization and Pose Propagation
    Tang, Wenjun
    Tang, Kai
    Zi, Bin
    Qian, Sen
    Zhang, Dan
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (05) : 4407 - 4414
  • [9] Sim-Grasp: Learning 6-DOF Grasp Policies for Cluttered Environments Using a Synthetic Benchmark
    Li, Juncheng
    Cappelleri, David J.
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (09): : 7645 - 7652
  • [10] Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input
    Chen, Yiye
    Lin, Yunzhi
    Xu, Ruinian
    Vela, Patricio A.
    2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2023), 2023, : 7988 - 7995
12345