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Standardized data formats for flexible human-robot-collaboration at a multi-workstation assembly table

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the process of industrial automatization, collaborative robots are becoming an increasingly important tool in a wide range of industries. The robot assists humans in strenuous and repetitive tasks, in order to increase the productivity and well-being of the worker. The concept presented in this paper focuses on a flexible assistance function of a robot for multiple workstations simultaneously and incorporates different human-machine-interaction approaches. Therefore, an assembly table (Figure 2) with the possibility to study different concepts for one robot at the same time is designed and constructed. Aspects like ergonomics and safety are considered in the design. Additionally, a standardized data format that enables users and developers to control the robot through peripheral devices is created. As an example, gesture and voice control are discussed and evaluated.
Rocznik
Strony
199--206
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
autor
  • City University of Applied Sciences, Nature and Engineering, Mechanical Engineering, IAT, Neustadtswall 30, Bremen, 28199, Germany
  • City University of Applied Sciences, Nature and Engineering, Mechanical Engineering, IAT, Neustadtswall 30, Bremen, 28199, Germany
autor
  • City University of Applied Sciences, Nature and Engineering, Mechanical Engineering, IAT, Neustadtswall 30, Bremen, 28199, Germany
Bibliografia
  • 1. Hoffman, G., Breazeal, C. (2004) Collaboration in Human-Robot Teams. In: AIAA 1st Intelligent Systems Technical Conference. 20-22 September 2004, Chicago, Illinois. DOI: 10.2514/6.2004-6434
  • 2. Vasconez J. P., Kantor G. A., Auat Cheein F. A. (2018). Human–robot interaction in agriculture: A survey and current challenges. In: Biosystems Engineering Volume 179, March 2019, Pages 35-48.
  • 3. Teiwes J., Bänziger T., Kunz A., Wegener K. (2016). Identifying the potential of human-robot collaboration in automotive assembly lines using a standardised work description. In: 2016 22nd International Conference on Automation and Computing (ICAC). DOI: 10.1109/IConAC.2016.7604898
  • 4. Thomas C., Matthias B., Kuhlenkötter B. (2016) HumanRobotCollaboration – New Applications in Industrial Robotics. In: International Conference on Competitive Manufacturing
  • 5. Tsarouchi P., Matthaiakis A.-S., Makris S. Chryssolouris G. (2016). On a human-robot collaboration in an assembly cell. In: International Journal of Computer Integrated Manufacturing Volume 30, Pages 580-589
  • 6. Maurtual I., Ibarguren A., Kildal J., Susperregi L., Sierra B. (2017). Human–robot collaboration in industrial applications: Safety, interaction and trust. In: International Journal of Advanced Robotic Systems JulyAugust 2017: 1–10. DOI: 10.1177/1729881417716
  • 7. Mohammed A., Schmidt B., Wang L. (2016). Active collision avoidance for human–robot collaboration driven by vision sensors. In: International Journal of Computer Integrated Manufacturing. Volume 30, 2017. Pages 970-980
  • 8. City University of Applied Sciences. [Online] Available: <<http://www.fbm.hs-bremen.de/modul/beschreibung.aspx?modul_id=699>> Accessed on: 12.04.2019
  • 9. City University of Applied Sciences. [Online] Available: <<https://www.hs-bremen.de/internet/de/forschung/projekte/detail/index_65597.html>> Accessed on: 12.04.2019
  • 10. Robyn. MacSources. 03.2015 [Online] Available: <<https://macsources.com/myo-armband-available-onamazon/>> Accessed on: 12.04.2019
  • 11. Realwear, „HMT-1 Bedienungsanleitung (Deutsch) Version: 2“. [Online]. Available: <<https://www.real wear.com/pdf/HMT1_UG_German.pdf>> Access on: 12.04.2019
  • 12. Bullinger H. J. (1994). Ergonomie – Produkt und Arbeitsplatzgestaltung. Vieweg + Teubner Verlag, DOI: 10.1007/978-3-663-12094-0
  • 13. A. Sacco. IDG Communications, Inc. [Online] Available: <
  • 14. Hettig J. Verwendbarkeit von myoelektrischer Gestensteuerung im Operationssaal. [Online] Available: <<http://isgwww.cs.uni-magdeburg.de/cas/pub/Master arbeit_Julian_Hettig.pdf>> Accessed on: 12.04.2019
  • 15. Patonis P., Patias P., Tziavos I. N., Rossikopoulos D., Margaritis K. G. (2018). A Fusion Method for Combining Low-Cost IMU/Magnetometer Outputs for Use in Applications on Mobile Devices. In: Sensors (Basel, Switzerland) vol. 18,8 2616. 9 Aug. 2018, DOI:10.3390/s18082616
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-13412874-60c7-493a-8602-4668a2bd4da9
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