IDEAS home Printed from https://ideas.repec.org/a/ids/ijmtma/v35y2021i3p200-217.html
   My bibliography  Save this article

Monitoring of data grabbing by multi-sensor parallel robot based on visual screening

Author

Listed:
  • Meijie Shang
  • Jieming Zhang
  • Fangyuan Han
  • Min Yu

Abstract

In order to overcome the problems of low monitoring accuracy and efficiency in the existing monitoring methods of grab data, a new monitoring method of grab data of multi-sensor parallel robot based on visual screening is proposed. Multi-sensor data fusion is used to identify the robot's pose. Based on visual screening technology, FH visual processing module is constructed by using FH visual controller, camera and LED light source, with the camera connection completed by using fz-vs camera line and FH visual controller. Transfer data information such as workpiece type coordinates to the NJ controller. The controller uses the network and servo driver to connect, and combines the robot pose detection results to realise the robot grasping data control. The experimental results show that this method has high monitoring accuracy and efficiency, and the shortest monitoring time is only 21 s.

Suggested Citation

  • Meijie Shang & Jieming Zhang & Fangyuan Han & Min Yu, 2021. "Monitoring of data grabbing by multi-sensor parallel robot based on visual screening," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 35(3), pages 200-217.
  • Handle: RePEc:ids:ijmtma:v:35:y:2021:i:3:p:200-217
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=118803
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijmtma:v:35:y:2021:i:3:p:200-217. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=21 .

    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.