IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v72y2019i3d10.1007_s11235-019-00561-z.html
   My bibliography  Save this article

Survey on artificial intelligence based techniques for emerging robotic communication

Author

Listed:
  • S. H. Alsamhi

    (Tsinghua University
    IBB University)

  • Ou Ma

    (University of Cincinnati)

  • Mohd. Samar Ansari

    (Aligarh Muslim University
    Athlone Institute of Technology)

Abstract

This paper reviews the current development of artificial intelligence (AI) techniques for the application area of robot communication. The research of the control and operation of multiple robots collaboratively toward a common goal is fast growing. Communication among members of a robot team and even including humans is becoming essential in many real-world applications. The survey focuses on the AI techniques for robot communication to enhance the communication capability of the multi-robot team, making more complex activities, taking an appreciated decision, taking coordinated action, and performing their tasks efficiently. We present a comprehensive review of the intelligent solutions for robot communication which have been proposed in the literature in recent years. This survey contributes to a better understanding of the AI techniques for enhancing robot communication and sheds new lights on future research direction in the subject area.

Suggested Citation

  • S. H. Alsamhi & Ou Ma & Mohd. Samar Ansari, 2019. "Survey on artificial intelligence based techniques for emerging robotic communication," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(3), pages 483-503, November.
    • Handle: RePEc:spr:telsys:v:72:y:2019:i:3:d:10.1007_s11235-019-00561-z
    DOI: 10.1007/s11235-019-00561-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-019-00561-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11235-019-00561-z?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
    ---><---

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

    References listed on IDEAS

    as
    1. Vishal Sharma & Rajesh Kumar, 2017. "G-FANET: an ambient network formation between ground and flying ad hoc networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 65(1), pages 31-54, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Zhou, Wei & Zhuang, Yan & Chen, Yan, 2024. "How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology," Energy Economics, Elsevier, vol. 131(C).
    2. Ghouri, Arsalan Mujahid & Mani, Venkatesh & Haq, Mirza Amin ul & Kamble, Sachin S., 2022. "The micro foundations of social media use: Artificial intelligence integrated routine model," Journal of Business Research, Elsevier, vol. 144(C), pages 80-92.
    3. Ahmed Farouk Kineber & Ayodeji Emmanuel Oke & Mohammed Magdy Hamed & Ehab Farouk Rached & Ali Elmansoury & Ashraf Alyanbaawi, 2022. "A Partial Least Squares Structural Equation Modeling of Robotics Implementation for Sustainable Building Projects: A Case in Nigeria," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
    4. S. H. Alsamhi & Ou Ma & Mohd. Samar Ansari & Qingliang Meng, 2019. "Greening internet of things for greener and smarter cities: a survey and future prospects," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(4), pages 609-632, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:telsys:v:72:y:2019:i:3:d:10.1007_s11235-019-00561-z. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.