Target position estimation for pick-and-place tasks using a mobile manipulator

Hae Chang Kim, In Hwan Yoon, Jae Bok Song

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

    Abstract

    A mobile manipulator uses marker detection and hand-eye calibration to compensate for the performance limitation of position estimation during pick-and-place tasks. However, even if these methods are applied, an error occurs due to the limitation of camera calibration, so it is not easy to place the object in the correct position. To solve this problem, this study proposes a system that enables the manipulator to move to the correct target position based on the relationship between the estimated marker position and the motion displacement of the end-effector of the manipulator. First, the relative position between the end-effector frame and the camera frame is accurately estimated to reduce errors that occur when moving the manipulator based on the camera frame. Then, a model is built between the estimated marker position and the actual one, and the manipulator is moved to the correct position by obtaining the displacement of the manipulator according to the estimated marker position. Experiments have shown that the proposed system has a small error of less than 0.5 mm and allows the mobile manipulator to place objects in the correct position.

    Original languageEnglish
    Title of host publication2021 18th International Conference on Ubiquitous Robots, UR 2021
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages494-498
    Number of pages5
    ISBN (Electronic)9781665438995
    DOIs
    Publication statusPublished - 2021 Jul 12
    Event18th International Conference on Ubiquitous Robots, UR 2021 - Gangneung-si, Gangwon-do, Korea, Republic of
    Duration: 2021 Jul 122021 Jul 14

    Publication series

    Name2021 18th International Conference on Ubiquitous Robots, UR 2021

    Conference

    Conference18th International Conference on Ubiquitous Robots, UR 2021
    Country/TerritoryKorea, Republic of
    CityGangneung-si, Gangwon-do
    Period21/7/1221/7/14

    Bibliographical note

    Funding Information:
    * Research supported by the MOTIE under the Industrial Foundation Technology Development Program supervised by the KEIT (No. 20008613) Hae-Chang Kim is with the School of Mechanical Engineering, Korea University, Seoul, Korea (e-mail: [email protected]). In-Hwan Yoon is with the Dept. of Mechatronics, Korea University, Seoul, Korea (e-mail: [email protected]). Jae-Bok Song, the corresponding author and a senior member of IEEE, is with the School of Mechanical Engineering, Korea University, Seoul, Korea (tel: +82 2 3290 3363; fax: +82 2 3290 3757; e-mail: [email protected]).

    Funding Information:
    This research was supported by the MOTIE under the Industrial Foundation Technology Development Program supervised by the KEIT (No. 20008613).

    Publisher Copyright:
    © 2021 IEEE.

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Mechanical Engineering
    • Control and Optimization
    • Artificial Intelligence

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