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

  • 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 detectHuman-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.show moreshow less

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Metadaten
Document Type:Article (reviewed)
Zitierlink: https://opus.hs-offenburg.de/2489
Bibliografische Angaben
Title (English):Time-of-Flight Cameras Enabling Collaborative Robots for Improved Safety in Medical Applications
Author:Thomas WendtStaff MemberORCiDGND, Urban HimmelsbachStaff MemberORCiD, Matthias LaiStaff MemberGND, Matthias WaßmerStaff Member
Year of Publication:2017
Date of first Publication:2017/10/01
Page Number:8
First Page:10
Last Page:17
Parent Title (English):International Journal of Interdisciplinary Telecommunications and Networking : IJITN
Volume:9
Issue:4
ISBN:9781522512660 (EISBN13)
ISSN:1941-8663
ISSN:1941-8671 (EISSN)
DOI:https://doi.org/10.4018/IJITN.2017100102
Language:English
Inhaltliche Informationen
Institutes:Fakultät Wirtschaft (W)
Forschung / WLRI - Work-Life Robotics Institute
Institutes:Bibliografie
DDC classes:600 Technik, Medizin, angewandte Wissenschaften
GND Keyword:Robotics
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt