IDEAS home Printed from https://ideas.repec.org/a/ids/ijilea/v32y2022i3p239-261.html
   My bibliography  Save this article

Implementation of semi-autonomous robot as solution to water pollution from floating trash

Author

Listed:
  • Hirdy Othman
  • Mohammad Iskandar Petra
  • Liyanage Chandratilak de Silva
  • Wahyu Caesarendra
  • Sena Seneviratne
  • Adam Glowacz

Abstract

A vast and immense global production of plastics had burdened the world ever since the increasing demand for plastics consumption for the past five decades. These non-biodegradable plastics were then thrown away and became wastes. Some of these plastic wastes were re-processed without any proper environmental protection controls which eventually caused the rapid destruction of the Anthropocene. It was estimated that more than 19 million kilograms of plastic wastes were spotted in the ocean annually. The adoption of a small-scale research project, the floating trash collector robot as the means of cleaning the water bodies was proposed. The robot is a semi-autonomous vehicle and is equipped with integrated sensors with a centralised computational processing system (CPS). The unique architecture of the exoskeleton design enables this robot to collect floating plastic wastes. This system is highly suitable and applicable to be used for Brunei's historical floating water village. This technology could also be adopted for other places in the world where plastic pollutions required intervention using an innovative solution.

Suggested Citation

  • Hirdy Othman & Mohammad Iskandar Petra & Liyanage Chandratilak de Silva & Wahyu Caesarendra & Sena Seneviratne & Adam Glowacz, 2022. "Implementation of semi-autonomous robot as solution to water pollution from floating trash," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 32(3), pages 239-261.
    • Handle: RePEc:ids:ijilea:v:32:y:2022:i:3:p:239-261
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=125767
    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:ijilea:v:32:y:2022:i:3:p:239-261. 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=57 .

    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.