IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/7419178.html
   My bibliography  Save this article

An Approach for Elliptical Trajectory Planning with Vertical Straight Line Segments of Pick-and-Place Robot Operation with Height Clearance

Author

Listed:
  • Myong Song Choe
  • Kwan Sik Jang
  • Yong Ho Kim
  • Kyong Hyok Kim
  • Won-Chol Yang
  • Jaime Gallardo Alvarado

Abstract

This study deals with elliptical trajectory planning with vertical straight-line segments for pick-and-place robot operation with height clearance. It is significant for trajectory planning for the pick-and-place operation with the different height clearance between the picking point and placing point, or with the height clearance for picking and placing the product in the box. In this study, we propose an optimal asymmetric bisected elliptical path with two vertical straight line segments and a method to generate a motion profile suited to geometry of the optimal asymmetric bisected elliptical path based on the radius of curvature. The simulation result demonstrates that the proposed trajectory planning approach enables to reduce workspace and cycle period of the pick-and-place operation by minimizing the length and height of the path and guarantees continuity and smoothness of velocity, acceleration and jerk, and results in smoothness of working action of robot actuators.

Suggested Citation

  • Myong Song Choe & Kwan Sik Jang & Yong Ho Kim & Kyong Hyok Kim & Won-Chol Yang & Jaime Gallardo Alvarado, 2023. "An Approach for Elliptical Trajectory Planning with Vertical Straight Line Segments of Pick-and-Place Robot Operation with Height Clearance," Mathematical Problems in Engineering, Hindawi, vol. 2023, pages 1-12, June.
  • Handle: RePEc:hin:jnlmpe:7419178
    DOI: 10.1155/2023/7419178
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2023/7419178.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2023/7419178.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2023/7419178?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tianci Guo & Jiangbo Li & Yizhi Zhang & Letian Cai & Qicheng Li, 2024. "Study on Trajectory Optimization for a Flexible Parallel Robot in Tomato Packaging," Agriculture, MDPI, vol. 14(12), pages 1-17, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:7419178. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.