Automated guidance of peg-in-hole assembly tasks for complex-shaped parts

Hee Chan Song, Young Loul Kim, Jae-Bok Song

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    59 Citations (Scopus)

    Abstract

    To prevent the failure of peg-in-hole assembly tasks involving geometrically complex parts, a force control-based assembly strategy that takes geometric information into account is required. Therefore, in this study, we propose an assembly strategy for complex-shaped parts which performs force control based on visually-obtained geometric information and CAD models. CAD models are used to obtain geometric information about the parts, and a camera is used to track their position and orientation. In addition, an impedance control scheme is used to control the contact force to avoid excessive force during assembly tasks. The performance of the proposed guidance algorithm was evaluated by a series of experiments using arbitrary complex-shaped parts.

    Original languageEnglish
    Title of host publicationIROS 2014 Conference Digest - IEEE/RSJ International Conference on Intelligent Robots and Systems
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages4517-4522
    Number of pages6
    ISBN (Electronic)9781479969340
    DOIs
    Publication statusPublished - 2014 Oct 31
    Event2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014 - Chicago, United States
    Duration: 2014 Sept 142014 Sept 18

    Publication series

    NameIEEE International Conference on Intelligent Robots and Systems
    ISSN (Print)2153-0858
    ISSN (Electronic)2153-0866

    Other

    Other2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014
    Country/TerritoryUnited States
    CityChicago
    Period14/9/1414/9/18

    Bibliographical note

    Publisher Copyright:
    © 2014 IEEE.

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Software
    • Computer Vision and Pattern Recognition
    • Computer Science Applications

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