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.…
Document Type: | Article (reviewed) |
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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 Waßmer |
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 | |
Collections of the Offenburg University: | Bibliografie |
DDC classes: | 600 Technik, Medizin, angewandte Wissenschaften |
GND Keyword: | Robotics | Formale Angaben |
Open Access: | Closed Access |
Licence (German): | Urheberrechtlich geschützt |