journal article·2025-04-24Open access

Design of a Robotic Work Cell Using Hierarchical Systems Approach and Visual Components Software

Kanstantsin Miatliuk, Krystian Koc, Atakan Eliacik, Paulo E. Miyagi, Marcosiris A. O. Pessoa

Applied Sciences· Volume 15· Issue 9

Abstract

The use of Hierarchical Systems (HS) technology in the conceptual design of the RWC (Robotic Work Cell) is proposed in the work. In comparison with other widespread approaches, the conceptual model of the RWC constructed in the HS formal basis contains connected models of RWC subsystems, their processes, the RWC structure, its dynamic presentation as the unit in its environment, and the RWC coordinator. The design and control system of RWC is presented in the form of an HS coordinator. For the detailed design of the selected RWC, the Visual Components system was applied in the work. First, the conceptual model of the RWC is presented in the paper. The application of the Visual Components program system for the detailed design of the RWC is described after that. Third, the laboratory experiment with the KUKA KR16-2 F robot is briefly considered. The originality of the proposed work lies in the application of the novel HS technology in the creation of the conceptual model and design of the selected RWC. The model developed at the conceptual design phase is coordinated with the model created at the detailed design phase within the framework of the Visual Components system. The effectiveness of the proposed HS approach in comparison with other known design, AI, and mathematical methods lies in the possibility of solving RWC synthesis and analysis design problems within the framework of one common formal HS model using an HS coordinator that connects the structure of the system being designed with its function, predicting, in this way, the system’s dynamics in its environment, and performing RWC control. The reliability of the model proposed was verified while performing the design and control tasks of the presented RWC and various other mechatronic objects. The results and conclusive remarks are finally presented in the paper.
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Research context

OpenAlex topics: Advanced Manufacturing and Logistics Optimization · Assembly Line Balancing Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Mechanical Engineering Faculty, Bialystok University of Technology, 15-351 Białystok, Poland

Automatic Control, Robotics and Electrical Engineering Faculty, Poznan University of Technology, 61-542 Poznan, Poland

Escola Polifécnica, University of São Paulo, São Paulo 05508-030, Brazil

Funding

Faculty of Mechanical Engineering of Bialystok University of Technology, Poland

References (34)

Show source-provided references
1. (2025, February 11). Visual Components. Available online: https://www.visualcomponents.com/resources/blog/introducing-visual-components-4-4/.
2. Towards an aided process of building a knowledge based engineering applications
3. A new method for the design of knowledge-based engineering systems for manufacturing10.1007/s12008-021-00771-3 ↗
4. Sobieszczanski-Sobieski, J., Morris, A., and Tooren, M. (2015). Multidisciplinary Design Optimization Supported by Knowledge Based Engineering, John Wiley & Sons.10.1002/9781118897072 ↗
5. On applying model-driven engineering to conceptual design
6. Model-driven engineering for mobile robotic systems: A systematic mapping study10.1007/s10270-021-00908-8 ↗
7. Bryant, C.R., Stone, R.B., McAdams, D.A., Kurtoglu, T., and Campbell, M.I. (2005, January 15–18). Concept generation from the functional basis of design. Proceedings of the International Conference on Engineering Design (ICED 2005), Melbourne, Australia.
8. Functional modelling through Function Class Method: A case from DfAM domain10.1016/j.aej.2022.12.001 ↗
9. A function–behavior–structure ontology of processes10.1017/S0890060407000340 ↗
10. Function-Behavior-Structure model of design: An alternative approach
11. Gausemeier, J., Ramming, F.J., and Schafer, W. (2014). Design Methodology for Intelligent Technical Systems, Springer.10.1007/978-3-642-45435-6 ↗
12. Managing evolution from mechatronics to intelligent technical systems
13. Legatiuk, D., and Nilsson, H. (2017, January 1). Abstract modelling: Towards a typed declarative language for the conceptual modelling phase. Proceedings of the 8th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools, Munich, Germany.10.1145/3158191.3158202 ↗
14. Miatliuk, K. (2017). Conceptual Design of Mechatronic Systems, WPB. Available online: https://pb.edu.pl/oficyna-wydawnicza/wp-content/uploads/sites/4/2018/02/Miatluk_publikacja.pdf.
15. Use of Hierarchical System Technology in Mechatronic Design10.1016/j.mechatronics.2010.01.002 ↗
16. Conceptual Model in the Formal Basis of Hierarchical Systems for Mechatronic Design10.1080/01969722.2015.1058666 ↗
17. Miatluk, K., Nawrocka, A., Holewa, K., and Moulianitis, V. (2020). Conceptual Design of BCI for Mobile Robot Control. Appl. Sci., 10.10.3390/app10072557 ↗
18. Miatliuk, K., Wolniakowski, A., Trochimczuk, R., and Jorgensen, J. (2024, January 2–4). Mechatronic Design and Control of a Robot System for Grinding. Proceedings of the 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Genova, Italy.10.1109/MESA61532.2024.10704888 ↗
19. Miatliuk, K., Wolniakowski, A., and Quintana, J.J. (2023, January 12–14). Conceptual Design and Control of a Robotic System for Welding. Proceedings of the 24th IEEE International Carpathian Control Conference, Miskolc-Szilvásvárad, Hungary.10.1109/ICCC57093.2023.10178909 ↗
20. (2025, February 11). RobotStudio. Available online: https://new.abb.com/products/robotics/robotstudio.
21. (2025, February 11). CoppeliaSim. Available online: https://www.coppeliarobotics.com/.
22. (2025, February 11). DELMIA. Available online: https://www.cadsol.pl/produkty/delmia/.
23. (2025, February 11). RoboDK. Available online: https://robodk.com/.
24. Archila, J.F., Dutra, M.S., and Castro Pinto, F.A. (2010). Kinematical and Dynamical Models of KR 6 KUKA Robot, Including the Kinematic Control in a Parallel Processing Platform. Robot Manipulators, New Achievements, IntechOpen.10.5772/9330 ↗
25. (2025, February 11). TongTai. Available online: https://www.tongtai.com.tw/en/product-detail.php?id=138.
26. (2025, February 11). KUKA. Available online: https://www.robots.com/images/robots/KUKA/Low-Payload/KUKA_KR_16_2_F_Datasheet.pdf.
27. Miatliuk, K., Wolniakowski, A., and Kolosowski, P. (2020, January 11–14). Engineering system of systems conceptual design in theoretical basis of hierarchical systems. Proceedings of the IEEE International Conference Systems Man and Cybernetics SMC, Toronto, ON, Canada.10.1109/SMC42975.2020.9282915 ↗
28. Task and context sensitive gripper design learning using dynamic grasp simulation10.1007/s10846-017-0492-y ↗
29. Valsamos, C., Miatluk, K., Wolniakowski, A., Moulianitis, V., and Aspragathos, N. (2022). Optimal kinematic task position determination–application and experimental verification for the UR5 manipulator. Appl. Sci., 12.10.3390/app12189352 ↗
30. Neural network modelling of kinematic and dynamic features for signature verification10.1016/j.patrec.2024.11.021 ↗
31. Trochimczuk, R., Wolniakowski, A., Cheng, Z., Romaniuk, S., and Tomaszewski, R. (2024, January 27–30). Overview of selected teleoperation positioning systems for controlling a robot arm operating in Remote Centre of Motion (RCM) mode. Proceedings of the 28th IEEE International Conference on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland.10.1109/MMAR62187.2024.10680787 ↗
32. Design and fuzzy control of a robotic gripper for efficient strawberry harvesting10.1017/S0263574714001155 ↗
33. Measurement and diagnostic system for detecting and classifying faults in the rotary hay tedder using multilayer perceptron neural networks10.1016/j.engappai.2024.108513 ↗
34. János Simon, J., Gogolák, L., and Sárosi, J. (2024). Deep Reinforcement Learning-Assisted Teaching Strategy for Industrial Robot Manipulator. Appl. Sci., 14.10.3390/app142310929 ↗