IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-99-3626-7_14.html
   My bibliography  Save this book chapter

How Can Robot Replacement Be Achieved? – Technology Development Direction for Automatic Construction Robot

In: Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Xinyao Ma

    (Chongqing University)

  • Chao Mao

    (Chongqing University
    Chongqing University
    Chongqing University)

  • Xiao Li

    (The University of Hong Kong)

  • Chengke Wu

    (Chinese Academy of Sciences
    The Hong Kong Polytechnic University)

Abstract

Automatic Construction Robot (ACR) replacement is increasingly important in addressing labor shortages, productivity inefficiencies, and other problems in construction activities. However, the development of ACR replacement cannot be separated from technology forecasting. Given patent data as an essential indicator for predicting technology development, this study aims to develop a technology prediction model to analyze the development of ACR replacement. To this end, this study first collected patent data on the ACR. Secondly, this study proposed a technology mining method and patent similarity model based on the subject-action-object (SAO) structure to build the patent similarity matrix. Finally, this similarity matrix was used to draw the patent map for forecasting the development direction of ACR replacement. This study identified the eight development opportunities of ACR replacement and related challenges.

Suggested Citation

  • Xinyao Ma & Chao Mao & Xiao Li & Chengke Wu, 2023. "How Can Robot Replacement Be Achieved? – Technology Development Direction for Automatic Construction Robot," Lecture Notes in Operations Research, in: Jing Li & Weisheng Lu & Yi Peng & Hongping Yuan & Daikun Wang (ed.), Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, pages 173-188, Springer.
  • Handle: RePEc:spr:lnopch:978-981-99-3626-7_14
    DOI: 10.1007/978-981-99-3626-7_14
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-981-99-3626-7_14. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.