Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
167 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
42 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Towards Robotic Laboratory Automation Plug & Play: Survey and Concept Proposal on Teaching-free Robot Integration with the LAPP Digital Twin (2205.08210v4)

Published 17 May 2022 in cs.RO

Abstract: The Laboratory Automation Plug & Play (LAPP) framework is an over-arching reference architecture concept for the integration of robots in life science laboratories. The plug & play nature lies in the fact that manual configuration is not required, including the teaching of the robots. In this paper a digital twin (DT) based concept is proposed that outlines the types of information that have to be provided for each relevant component of the system. In particular, for the devices interfacing with the robot, the robot positions have to be defined beforehand in a device-attached coordinate system (CS) by the vendor. This CS has to be detectable by the vision system of the robot by means of optical markers placed on the front side of the device. With that, the robot is capable of tending the machine by performing the pick-and-place type transportation of standard sample carriers. This basic use case is the primary scope of the LAPP-DT framework. The hardware scope is limited to simple benchtop and mobile manipulators with parallel grippers at this stage. This paper first provides an overview of relevant literature and state-of-the-art solutions, after which it outlines the framework on the conceptual level, followed by the specification of the relevant DT parameters for the robot, for the devices and for the facility. Finally, appropriate technologies and strategies are identified for the implementation.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (28)
  1. doi:10.1016/J.SLAST.2021.11.003. URL https://www.sciencedirect.com/science/article/pii/S2472630321000224
  2. Biosero Acceleration Lab, [cited 2021 Oct 18]. URL https://biosero.com/integrations/acceleration-lab/
  3. Robotic Lab Assistant - Astech Projects. URL https://astechprojects.co.uk/laboratory/robotic-lab-assistant/
  4. doi:10.1016/j.patcog.2014.01.005.
  5. feature_definitions/ch/unitelabs · master · SiLA2 / sila_base · GitLab. URL https://gitlab.com/SiLA2/sila_base/-/tree/master/feature_definitions/ch/unitelabs
  6. (224) Webinar Kevin - YouTube. URL https://www.youtube.com/watch?v=HfZCNi841Oo&t=27s
  7. doi:10.1007/978-3-319-38756-7{_}4.
  8. doi:10.1016/j.cirpj.2020.02.002. URL https://doi.org/10.1016/j.cirpj.2020.02.002
  9. doi:10.1016/j.ifacol.2015.06.141. URL http://dx.doi.org/10.1016/j.ifacol.2015.06.141
  10. doi:10.1016/J.PROMFG.2017.07.198. URL www.sciencedirect.com
  11. doi:10.1016/J.RCIM.2019.101837. URL https://doi.org/10.1016/j.rcim.2019.101837
  12. doi:10.1016/J.CIRP.2017.04.040. URL http://dx.doi.org/10.1016/j.cirp.2017.04.040
  13. doi:10.1007/978-3-319-64352-6{_}29. URL https://link.springer.com/chapter/10.1007/978-3-319-64352-6_29
  14. doi:10.1016/J.PROMFG.2018.10.047.
  15. doi:10.1109/HRI.2019.8673015.
  16. doi:10.1007/978-3-030-91892-7{_}40. URL https://link.springer.com/chapter/10.1007/978-3-030-91892-7_40
  17. doi:10.1115/IMECE2019-10583.
  18. doi:10.3390/bioengineering5040102.
  19. doi:10.1016/J.CIRP.2020.03.003.
  20. doi:10.1016/J.RCIM.2021.102140.
  21. doi:10.5220/0006478901820191.
  22. doi:10.1007/s00138-012-0469-6.
  23. SiLA2 / sila_ros · GitLab. URL https://gitlab.com/SiLA2/sila_ros
  24. Details of the Asset Administration Shell. Part 1 – The exchange of information between partners in the value chain of Industrie 4.0 (Version 1.0), [cited 2021 June 09]. URL https://www.plattform-i40.de/PI40/Redaktion/DE/Downloads/Publikation/2018-verwaltungsschale-im-detail.html
  25. ROVER® Laboratory Automation Platform - FORMULATRIX®. URL https://formulatrix.com/liquid-handling-systems/rover-laboratory-automation/
  26. doi:10.1109/ICCE.2018.8326268.
  27. Pharmaceuticals & Biomedical – Shadow Robot Company. URL https://www.shadowrobot.com/pharmaceuticals-biomedical/
  28. doi:10.1007/978-3-319-48881-3{_}22/TABLES/2. URL https://link.springer.com/chapter/10.1007/978-3-319-48881-3_22
Citations (3)

Summary

We haven't generated a summary for this paper yet.