Modeling of geometrical uncertainty in robotic assembly

被引:0
|
作者
Wang, Jian-Ping [1 ]
Feng, Guang-Tao [1 ]
Zhao, Xi-Fang [1 ]
机构
[1] Res. Inst. of Robotics, Shanghai Jiaotong Univ., Shanghai 200030, China
关键词
Geometry - Regulatory compliance - Uncertain systems;
D O I
暂无
中图分类号
学科分类号
摘要
In robotic assembly, the actual location of the workpieces and the environment vary in some regions due to geometrical uncertainty. So, modeling of geometrical uncertainty is to determine those uncertainty regions. The geometrical uncertainty is decomposed into position uncertainty (PU) and orientation uncertainty (OU). The PU and OU of every point is represented by uncertainty sphere (US) and uncertainty spherical surface (USS) respectively. The geometrical uncertainty region is obtained with the union of the USs and USSs of all the points in one object. Since the geometrical uncertainty region is fairly complex, some approximate methods are discussed to simplify the analysis.
引用
收藏
页码:1789 / 1792
相关论文
共 50 条
  • [1] Misalignment estimation and compensation for robotic assembly with uncertainty
    Kim, JY
    Kim, WS
    Cho, HS
    ROBOTICA, 2005, 23 : 355 - 364
  • [2] Assembly error modeling based on geometrical product specifications
    Yang Z.
    Gao T.
    Li C.
    He Z.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2024, 30 (01): : 118 - 128
  • [3] Modeling Flexible Parts for Robotic Assembly Simulations
    Goedrich, Axel
    Schmidt-Vollus, Ronald
    Hoelzer, Christian
    Jehle, Georg
    Helldoerfer, Bastian
    2022 10TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC), 2022, : 528 - 533
  • [4] MODELING AND ANALYSIS OF SUBSYSTEM INTERACTIONS IN ROBOTIC ASSEMBLY
    Shriyam, Shaurya
    Gupta, Satyandra K.
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2019, VOL 1, 2020,
  • [5] On Efficient and Flexible Autonomous Robotic Insertion Assembly in the Presence of Uncertainty
    Cao, Shichen
    Xiao, Jing
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (07): : 6360 - 6367
  • [6] Dynamic geometrical configuration predictions during robotic manipulation for automated cable assembly
    Du, Hongwang
    Jiang, Qinwen
    Xiong, Wei
    JOURNAL OF MANUFACTURING SYSTEMS, 2022, 64 : 121 - 132
  • [7] Force control in robotic assembly under extreme uncertainty using ANN
    Lopez-Juarez, I
    Howarth, M
    IECON 2000: 26TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4: 21ST CENTURY TECHNOLOGIES AND INDUSTRIAL OPPORTUNITIES, 2000, : 590 - 595
  • [8] Reducing Uncertainty in Robotic Surface Assembly Tasks Based on Contact Information
    Saric, Amar
    Xiao, Jing
    Shi, Jane
    2014 IEEE WORKSHOP ON ADVANCED ROBOTICS AND ITS SOCIAL IMPACTS (ARSO), 2014, : 94 - 100
  • [9] The robotic assembly line balancing problem under task time uncertainty
    Zacharia, Paraskevi
    Nearchou, Andreas C.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2025, : 2991 - 3011
  • [10] Structured Uncertainty Modeling, Analysis and Control of a Customized Robotic Arm
    Qaisar, Tayyaba
    Mahmood, A.
    2016 IEEE INTERNATIONAL CONFERENCE ON AUTOMATICA (ICA-ACCA), 2016,