6D Robotic Assembly Based on RGB-only Object Pose Estimation

被引:2
|
作者
Fu, Bowen [1 ,2 ]
Leong, Sek Kun [1 ,2 ]
Lian, Xiaocong [1 ,2 ]
Ji, Xiangyang [1 ,2 ]
机构
[1] Tsinghua Univ, Dept Automat, Beijing, Peoples R China
[2] Tsinghua Univ, BNRist, Beijing, Peoples R China
关键词
D O I
10.1109/IROS47612.2022.9982262
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Vision-based robotic assembly is a crucial yet challenging task as the interaction with multiple objects requires high levels of precision. In this paper, we propose an integrated 6D robotic system to perceive, grasp, manipulate and assemble blocks with tight tolerances. Aiming to provide an off-the-shelf RGB-only solution, our system is built upon a monocular 6D object pose estimation network trained solely with synthetic images leveraging physically-based rendering. Subsequently, pose-guided 6D transformation along with collision-free assembly is proposed to construct any designed structure with arbitrary initial poses. Our novel 3-axis calibration operation further enhances the precision and robustness by disentangling 6D pose estimation and robotic assembly. Both quantitative and qualitative results demonstrate the effectiveness of our proposed 6D robotic assembly system.
引用
收藏
页码:4736 / 4742
页数:7
相关论文
共 50 条
  • [1] Fast 6D object pose estimation of shell parts for robotic assembly
    Haopeng Hu
    Weikun Gu
    Xiansheng Yang
    Nan Zhang
    Yunjiang Lou
    [J]. The International Journal of Advanced Manufacturing Technology, 2022, 118 : 1383 - 1396
  • [2] Fast 6D object pose estimation of shell parts for robotic assembly
    Hu, Haopeng
    Gu, Weikun
    Yang, Xiansheng
    Zhang, Nan
    Lou, Yunjiang
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 118 (5-6): : 1383 - 1396
  • [3] SilhoNet: An RGB Method for 6D Object Pose Estimation
    Billings, Gideon
    Johnson-Roberson, Matthew
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2019, 4 (04): : 3727 - 3734
  • [4] 6D Pose Estimation of Transparent Object From Single RGB Image for Robotic Manipulation
    Byambaa, Munkhtulga
    Koutaki, Gou
    Choimaa, Lodoiravsal
    [J]. IEEE ACCESS, 2022, 10 : 114897 - 114906
  • [5] Reconstruction-based 6D pose estimation for robotic assembly
    Shi, Zhongchen
    Xu, Kai
    Li, Zhang
    Guan, Banglei
    Wang, Gang
    Shang, Yang
    [J]. APPLIED OPTICS, 2020, 59 (31) : 9824 - 9835
  • [6] Hybrid 6D Object Pose Estimation from the RGB Image
    Staszak, Rafal
    Belter, Dominik
    [J]. ICINCO: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 1, 2019, : 541 - 549
  • [7] 6D Object Pose Estimation in Cluttered Scenes from RGB Images
    Xiao-Long Yang
    Xiao-Hong Jia
    Yuan Liang
    Lu-Bin Fan
    [J]. Journal of Computer Science and Technology, 2022, 37 : 719 - 730
  • [8] 6D Object Pose Estimation in Cluttered Scenes from RGB Images
    Yang, Xiao-Long
    Jia, Xiao-Hong
    Liang, Yuan
    Fan, Lu-Bin
    [J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2022, 37 (03) : 719 - 730
  • [9] Robust 6D Object Pose Estimation by Learning RGB-D Features
    Tian, Meng
    Pan, Liang
    Ang, Marcelo H., Jr.
    Lee, Gim Hee
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2020, : 6218 - 6224
  • [10] RGB-Based Set Prediction Transformer of 6D Pose Estimation for Robotic Grasping Application
    Ning, Xiao
    Yang, Beining
    Huang, Si
    Zhang, Zhenzhe
    Pan, Binhui
    [J]. IEEE Access, 2024, 12 : 138047 - 138060