Integrating Robotics, Logistics, and Programming in STEM Education

Abstract:

This paper presents a qualitative, descriptive study addressing the imperative of developing multidisciplinary skills in STEM education to prepare students for the challenges of Industry 4.0. Acknowledging the limitations of traditional analytical and technical training, the study focuses on the significance of teamwork and the combination of multiple STEM skills. Multidisciplinary programming projects can be used effectively in higher education to facilitatie cross-disciplinary collaboration among students. Our pilot project, presented in this paper, uniquely contributes to this discourse by integrating logistics, robotics, and programming into a graphical simulation software that represents the 3D model of a warehouse with a programmable forklift truck tasked with navigating and transporting parcels. This paper discusses the methodology, outcomes, and implications of the pilot project, highlighting its role in preparing STEM students for the complex challenges of an interconnected world and Industry 4.0.

• Periodical: Advances in Science and Technology (Volume 165)
• Pages: 283-293
• DOI: https://doi.org/10.4028/p-hQc8Yi
• Online since: June 2025
• Authors: Erika Baksáné Varga*, Attila Baksa
• Keywords: Cross-Disciplinary Education, Industry 4.0, Processes, Simulation, STEM Education

References

[1] F. Hecklau, M. Galeitzke, S. Flachs, and H. Kohl. (2016) Holistic approach for human resource management in Industry 4.0. Procedia CIRP, 54, 1-6

DOI: 10.1016/j.procir.2016.05.102

[2] A. Benešová, and J. Tupa. (2017) Requirements for education and qualification of people in Industry 4.0. Procedia Manufacturing, 11, 2195-2202

DOI: 10.1016/j.promfg.2017.07.366

[3] L. Prifti, M. Knigge, H. Kienegger, and Krcmar. (2017) A Competency Model for "Industrie 4.0" Employees. Proceedings of the 13th International Conference on Wirtschaftsinformatik, 46-60.

[4] A. Schumacher, S. Erol, and W. Sihn. (2016) A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, 52, 161-166

DOI: 10.1016/j.procir.2016.07.040

[5] L.S. Nadelson, and A. Seifert, (2017) Integrated STEM defined: Contexts, challenges, and the future. The Journal of Educational Research, 110(3), 221-223

DOI: 10.1080/00220671.2017.1289775

[6] D.R. Whitaker, and B.S. Caldwell, (2012). What We Learn from STEM Undergraduate Student Project Teams. 42nd International Conference on Environmental Systems. https://doi.org/10.2514/6.2012-3569[7] A.V.D. Beemt, M.A.J. MacLeod, J.V.D. Veen, A.V.D. Ven, S.V. Baalen, R. Klaassen, and M. Boon, (2020) Interdisciplinary engineering education: A review of vision, teaching, and support. Journal of Engineering Education, 109(3), 508-555

DOI: 10.1002/jee.20347

[8] D. Mourtzis, E. Vlachou, G. Dimitrakopoulos, and V. Zogopoulos, (2018) Cyber-Physical Systems and Education 4.0 - The Teaching Factory 4.0 Concept. Procedia Manufacturing, 23, 129- 134

DOI: 10.1016/j.promfg.2018.04.005

[9] Z. Huang, E. Kougianos, X. Ge, S. Wang, P.D. Chen, and L. Cai, (2021) A Systematic Interdisciplinary Engineering and Technology Model Using Cutting-Edge Technologies for STEM Education

DOI: 10.1109/te.2021.3062153

[10] A.D.S. Jacinto, E.A.D. Nizo, M.I.D. Silva, A.G. Vieira, D. Germano, T.L.S. Fortunato, and E.M. Carneiro, (2017) Interdisciplinarity: A Bridge Between Undergraduate Learners and Researchers

DOI: 10.20533/licej.2040.2589.2017.0353

[11] S.S. Guzey, S. Caskurlu, and K. Kozan, (2020) Integrated STEM Pedagogies and Student Learning

DOI: 10.4324/9780429021381-8

[12] S. Meloeny, What is Industry 4.0? https://www.calsoft.com/what-is-industry-4-0/ (2022.07.18)

[13] K.S. Kiss, (2023) Warehouse Simulation Sofware https://github.com/KissKonradUni/ROSForkliftSimulation/releases

[14] K.S. Kiss, (2023) Documentation for Warehouse Simulation Software https://github.com/KissKonradUni/ROSForkliftSimulation/blob/main/Docu mentation/documentation.pdf