IDEAS home Printed from https://ideas.repec.org/a/igg/jitn00/v9y2017i4p10-17.html
   My bibliography  Save this article

Time-of-Flight Cameras Enabling Collaborative Robots for Improved Safety in Medical Applications

Author

Listed:
  • Thomas M. Wendt

    (Department of Business Administration and Industrial Engineering, University of Applied Sciences Offenburg, Gengenbach, Germany)

  • Urban B. Himmelsbach

    (Department of Business Administration and Industrial Engineering, University of Applied Sciences Offenburg, Gengenbach, Germany)

  • Matthias Lai

    (NewTec GmbH, Freiburg, Germany)

  • Matthias Waßmer

    (Department of Business Administration and Industrial Engineering, University of Applied Sciences Offenburg, Gengenbach, Germany)

Abstract

Human-robot collaboration is being used more and more in industry applications and is finding its way into medical applications. Industrial robots that are used for human-robot collaboration, cannot detect obstacles from a distance. This paper introduced the idea of using wireless technology to connect a Time-of-Flight camera to off-the-shelf industrial robots. This way, the robot can detect obstacles up to a distance of five meters. Connecting Time-of-Flight cameras to robots increases the safety in human-robot collaboration by detecting obstacles before a collision. After looking at the state of the art, the authors elaborated the different requirements for such a system. The Time-of-Flight camera from Heptagon is able to work in a range of up to five meters and can connect to the control unit of the robot via a wireless connection.

Suggested Citation

  • Thomas M. Wendt & Urban B. Himmelsbach & Matthias Lai & Matthias Waßmer, 2017. "Time-of-Flight Cameras Enabling Collaborative Robots for Improved Safety in Medical Applications," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 9(4), pages 10-17, October.
  • Handle: RePEc:igg:jitn00:v:9:y:2017:i:4:p:10-17
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJITN.2017100102
    Download Restriction: no
    ---><---

    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:igg:jitn00:v:9:y:2017:i:4:p:10-17. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.