Educational Program Development for Post-Disciplinary Mechatronics Considering Trends, Evolution, and a Novel Reasoning Model

Abstract

Due to the intertwining scientific, technological, engineering, economic, and social trends, we need to rethink our mental models in the field of mechatronics. The authors (i) completed a broad literature survey of state of the art in this product paradigm-driven discipline, (ii) identified the trends having the highest influence on its disciplinary formation, (iii) analyzed its evolution as a unique scholarly and professional domain, (iv) overviewed its main features and offerings, and (v) examined the manifestation of post-disciplinary mechatronics. They identified five trends heavily influencing its advancement, and demarcated classical, mechatronics, and post-disciplinary mechatronics as three stages of its evolution. The formation of post-disciplinary mechatronics has jointly been enabled by (i) the need for system-level problem-solving, (ii) the emergence of cognitive design, (iii) the proliferation of artificial intelligence technologies, and (iv) the blending of cognitive, human, social, and environmental knowledge. It makes the traditional (discipline combination) models obsolete and calls for a knowledge synthesis-oriented conceptual model. The proposed conceptual framework supports epistemological reasoning about specific knowledge domains, as well as an operational analysis of their explicit relationships in various branches of post-disciplinary mechatronics. The practical utility of the conceptual framework is demonstrated in the development of post-disciplinary educational programs for assistive homecare robotics, as a case study. The paper also proposes follow-up research to explore further deployment possibilities.

Keywords

References

1. [1] Bradley, D., 2010. Mechatronics–More questions than answers. Mechatronics. 20(8), 827–841. DOI: https://doi.org/10.1016/j.mechatronics.2010.07.011
2. [2] Hsu, T.R., 1997. Mechatronics. An overview. IEEE Transactions on Components, Packaging, and Manufacturing Technology: Part C. 20(1), 4–7. DOI: https://doi.org/10.1109/3476.585138
3. [3] Farhan, A., Barua, P., Saleheen, R.U., et al., 2024. Introduction to Mechatronics. In: Rahman, M.M., Mahbub, F., Tasnim, R., et al. (eds.). Mechatronics: Fundamentals and Applications. Springer Nature Singapore: Singapore, Singapore. pp. 1–19. DOI: https://doi.org/10.1007/978-981-97-7117-2_1
4. [4] Horváth, I., Ábrahám, Gy., 2025. Transdisciplinary Shifts in System Paradigm-Driven Disciplines: Mechatronics as an Example. Transdisciplinary Journal of Engineering & Science. 16, 177–207. DOI: https://doi.org/10.22545/2025/00276
5. [5] Habib, M.K., 2013. Interdisciplinary Mechatronics Engineering Science and the Evolution of Human Friendly and Adaptive Mechatronics. In: Habib, M.K., Davim, J.P. (eds.). Interdisciplinary Mechatronics. Wiley-ISTE: London, UK. pp. 1–17. DOI: https://doi.org/10.1002/9781118577516.ch1
6. [6] Freddi, D., 2009. The integration of old and new technological paradigms in low-and medium-tech sectors: The case of mechatronics. Research Policy. 38(3), 548–558. DOI: https://doi.org/10.1016/j.respol.2008.10.017
7. [7] Kumar, P., Channi, H.K., Gupta, S., 2024. Improving Power Quality for Industry Control Using Mechatronics Devices. In: Kolla, B.P., Kumar, P.S., Tam, I.C.K., et al. (eds.). Computational Intelligent Techniques in Mechatronics. John Wiley & Sons, Inc.: Hoboken, NJ, USA. pp. 317–346. DOI: https://doi.org/10.1002/9781394175437.ch10
8. [8] Luo, R.C., Chang, C.C., 2011. Multisensor fusion and integration: A review on approaches and its applications in mechatronics. IEEE Transactions on Industrial Informatics. 8(1), 49–60. DOI: https://doi.org/10.1109/TII.2011.2173942
9. [9] Kwon, D.S., Yang, T.H., Cho, Y.J., 2010. Mechatronics technology in mobile devices. IEEE Industrial Electronics Magazine. 4(2), 36–41. DOI: https://doi.org/10.1109/MIE.2010.936763
10. [10] Penas, O., Plateaux, R., Patalano, S., et al., 2017. Multi-scale approach from mechatronic to cyber-physical systems for the design of manufacturing systems. Computers in Industry. 86, 52–69. DOI: https://doi.org/10.1016/j.compind.2016.12.001
11. [11] Patel, A.R., Ramaiya, K.K., Bhatia, C.V., et al., 2021. Artificial Intelligence: Prospect in Mechanical Engineering Field—A Review. In: Kotecha, K., Piuri, V., Shah, H., et al. (eds.). Data Science and Intelligent Applications. Springer: Singapore, Singapore. pp. 267–282. DOI: https://doi.org/10.1007/978-981-15-4474-3_31
12. [12] Yan, X.T., Bradley, D., Russell, D., et al. (eds.), 2020. Reinventing Mechatronics: Developing Future Directions for Mechatronics. Springer Nature: Cham, Switzerland. DOI: https://doi.org/10.1007/978-3-030-29131-0
13. [13] Bradley, D., Russell, D., Ferguson, I., et al., 2015. The Internet of Things – The future or the end of mechatronics. Mechatronics. 27, 57–74. DOI: https://doi.org/10.1016/j.mechatronics.2015.02.005
14. [14] Squires, A.F., Sofer, A., 2018. Maturing System Competencies to Engineer a Better World. In Proceedings of the 2018 World Engineering Education Forum-Global Engineering Deans Council, Albuquerque, NM, USA, 12–16 November 2018; pp. 1–6.
15. [15] Kline, R., 2009. Where are the cyborgs in cybernetics? Social Studies of Science. 39(3), 331–362. DOI: https://doi.org/10.1177/0306312708101046
16. [16] Warwick, K., 2003. Cyborg morals, cyborg values, cyborg ethics. Ethics and Information Technology. 5(3), 131–137. DOI: https://doi.org/10.1023/B:ETIN.0000006870.65865.cf
17. [17] Barfield, W., Williams, A., 2017. Cyborgs and enhancement technology. Philosophies. 2(1), 4. DOI: https://doi.org/10.3390/philosophies2010004
18. [18] Isermann, R., 1996. Modeling and design methodology for mechatronic systems. IEEE/ASME Transactions on Mechatronics. 1(1), 16–28. DOI: https://doi.org/10.1109/3516.491406
19. [19] Buur, J., Andreasen, M.M., 1989. Design models in mechatronic product development. Design Studies. 10(3), 155–162. DOI: https://doi.org/10.1016/0142-694X(89)90033-1
20. [20] Mobarak, M.H., Hasan, M.J., Rahman, M., et al., 2024. Ethical and Social Consideration in Mechatronics. In: Rahman, M.M., Mahbub, F., Tasnim, R., et al. (eds.). Mechatronics: Fundamentals and Applications. Springer Nature Singapore: Singapore, Singapore. pp. 161–196. DOI: https://doi.org/10.1007/978-981-97-7117-2_8
21. [21] Bradley, D., Hehenberger, P., 2016. Mechatronic Futures. In: Hehenberger, P., Bradley, D. (eds.). Mechatronic Futures. Springer: Cham, Switzerland. pp. 1–15. DOI: https://doi.org/10.1007/978-3-319-32156-1_1
22. [22] Tomizuka, M., 2002. Mechatronics: from the 20th to 21st Century. Control Engineering Practice. 10(8), 877–886. DOI: https://doi.org/10.1016/S0967-0661(02)00016-3
23. [23] Brady, S., 2008. Multidisciplinary machine building. Engineering & Technology. 3(12), 46–49.
24. [24] Senthilnathan, K., 2022. Development and evaluation of control system in mechatronics - A systematic survey. Journal of Electrical Engineering and Automation. 4(2), 109–119. DOI: https://doi.org/10.36548/jeea.2022.2.005
25. [25] Ryalat, M., Franco, E., Elmoaqet, H., et al., 2024. The integration of advanced mechatronic systems into industry 4.0 for smart manufacturing. Sustainability. 16(19), 8504. DOI: https://doi.org/10.3390/su16198504
26. [26] Afolalu, S.A., Ikumapayi, O.M., Abdulkareem, A., et al., 2021. Enviable roles of manufacturing processes in sustainable fourth industrial revolution – A case study of mechatronics. Materials Today: Proceedings. 44, 2895–2901. DOI: https://doi.org/10.1016/j.matpr.2021.01.099
27. [27] Shalini, T.G., Ganeshabu, L., Chemudugunta, P., et al., 2024. Exploring innovations in autonomous robotics and mechatronics: application in manufacturing and healthcare. In Proceedings of the 2024 5th International Conference on Smart Electronics and Communication, Trichy, India, 19–20 September 2024; pp. 336–342. DOI: https://doi.org/10.1109/ICOSEC61587.2024.10722417
28. [28] Suresh, N.V., Selvakumar, A., Sridhar, G., et al., 2024. Integrating Mechatronics in Autonomous Agricultural Machinery: A Case Study. In: Kolla, B.P., Kumar, P.S., Tam, I.C.K., et al. (eds.). Computational Intelligent Techniques in Mechatronics. John Wiley & Sons, Inc.: Hoboken, NJ, USA. pp. 491–507. DOI: https://doi.org/10.1002/9781394175437.ch16
29. [29] Reif, K., 2014. Automotive Mechatronics. Springer Fachmedien: Wiesbaden, Germany. DOI: https://doi.org/10.1007/978-3-658-03975-2
30. [30] Ábrahám, Gy., 2001. Principles of correction of colour deficiency by filter glasses. Periodica Polytechnica Mechanical Engineering. 45(1), 3–10.
31. [31] Jian, X., Zou, T., 2022. A review of locomotion, control, and implementation of robot fish. Journal of Intelligent & Robotic Systems. 106(2), 37. DOI: https://doi.org/10.1007/s10846-022-01726-w
32. [32] Ishihara, H., Arai, F., Fukuda, T., 1996. Micro mechatronics and micro actuators. IEEE/ASME Transactions on Mechatronics. 1(1), 68–79. DOI: https://doi.org/10.1109/3516.491411
33. [33] Kovács, G., Nathues, A., Sierks, H., et al., 2024. The scientific calibration of the dawn framing camera. Space Science Reviews. 220(1), 4. DOI: https://doi.org/10.1007/s11214-023-01039-w
34. [34] Afonin, S.M., 2023. Structural Scheme of an Electromagnetoelastic Actuator for Nanotechnology Research. In: Parinov, I.A., Chang, SH., Putri, E.P. (eds.). Physics and Mechanics of New Materials and Their Applications. Springer: Cham, Switzerland. pp. 486–501. DOI: https://doi.org/10.1007/978-3-031-52239-0_45
35. [35] Zoletnik, S., Bartók, G., Buzás, A., et al., 2024. Production and launch studies of cryogenic pellets for the ITER disruption mitigation system. Nuclear Fusion. 64(9), 096033. DOI: https://doi.org/10.1088/1741-4326/ad6676
36. [36] Xie, L.H., Huang, W., 2014. Supramolecular Polymer Semiconductors (SPSS) Toward Organic Mechatronics. In: Oswald, M.R. (ed.). Advances in Optoelectronics Research. Nova Science Publisher, Inc.: New York, NY, USA. pp. 29–50.
37. [37] Fekete, R., Ábrahám, Gy., 2008. Integrated human-machine-environment system model of proportional stop lamps in braking situations. Periodica Polytechnica Transportation Engineering. 36(1–2), 47–50. DOI: https://doi.org/10.3311/pp.tr.2008-1-2.09
38. [38] Gheorghe, G., 2017. From mechatronics and cyber-mixmechatronics to claytronics. International Journal of Modeling and Optimization. 7(5), 280–285. DOI: https://doi.org/10.7763/IJMO.2017.V7.598
39. [39] Anwat, N., Aniket, K., Rameshwar, L., et al., 2021. Next generation control and precision gadgets. In Proceedings of the 3rd International Conference on Communication & Information Processing (ICCIP), Tokyo, Japan, 24–26 November 2017; pp. 1–12.
40. [40] Jain, S., Stalin, T., Kanhere, E., et al., 2020. Flexible fiber interconnects for soft mechatronics. IEEE Robotics and Automation Letters. 5(3), 3907–3914. DOI: https://doi.org/10.1109/LRA.2020.2982367
41. [41] Banerjee, A., Choppella, V., 2023. Knowledge driven synthesis using resource-capability semantics for control software design. IEEE Access. 11, 52527–52539. DOI: https://doi.org/10.1109/ACCESS.2023.3277859
42. [42] Witte, H., 2022. The interplay of biomimetics and biomechatronics. Biomimetics. 7(3), 96. DOI: https://doi.org/10.3390/biomimetics7030096
43. [43] Rahman, M., Rahman, M.M., Sohel, M.R., et al., 2024. Conclusion and future trends of mechatronics. In: Rahman, M.M., Mahbub, F., Tasnim, R., et al. (eds.). Mechatronics: Fundamentals and Applications. Springer Nature Singapore: Singapore, Singapore. pp. 209–224. DOI: https://doi.org/10.1007/978-981-97-7117-2_10
44. [44] Barbieri, G., Fantuzzi, C., Borsari, R., 2014. A model-based design methodology for the development of mechatronic systems. Mechatronics. 24(7), 833–843. DOI: https://doi.org/10.1016/j.mechatronics.2013.12.004
45. [45] Ziemniak, P., Stania, M., Stetter, R., 2009. Mechatronics engineering on the example of an innovative production vehicle. In Proceedings of ICED 09, the 17th International Conference on Engineering Design, Palo Alto, CA, USA, 24–27 August 2009; pp. 1–12.
46. [46] Zheng, C., Bricogne, M., Le Duigou, J., et al., 2014. Survey on mechatronic engineering: A focus on design methods and product models. Advanced Engineering Informatics. 28(3), 241–257. DOI: https://doi.org/10.1016/j.aei.2014.05.003
47. [47] Van der Auweraer, H., Anthonis, J., De Bruyne, S., et al., 2013. Virtual engineering at work: The challenges for designing mechatronic products. Engineering with Computers. 29(3), 389–408. DOI: https://doi.org/10.1007/s00366-012-0286-6
48. [48] Horváth, I., Gerritsen, B., Rusák, Z., 2010. A new look at virtual engineering. In Proceedings of Mechanical Engineering Conference (Gépészet 2010), Budapest, Hungary, 25–26 May 2010; pp. 1–12.
49. [49] Ferretti, G., Magnani, G., Rocco, P., 2004. Virtual prototyping of mechatronic systems. Annual Reviews in Control. 28(2), 193–206. DOI: https://doi.org/10.1016/j.arcontrol.2004.02.002
50. [50] Gerritsen, B., Horváth, I., 2010. The upcoming and proliferation of ubiquitous technologies in products and processes. Strojniški vestnik-Journal of Mechanical Engineering. 56(11), 765–783.
51. [51] Peter, O., Pradhan, A., Mbohwa, C., 2024. Smart mechatronics: Innovating sustainable solutions for the future. In Proceedings of the 5th African International Conference on Industrial Engineering and Operations Management, Johannesburg, South Africa, 23–25 April 2024; pp. 1037–1047.
52. [52] Braga, N.C., 2002. Robotics, Mechatronics, and Artificial Intelligence: Experimental Circuit Blocks for Designers. Newnes: Oxford, UK.
53. [53] Kuru, K., Yetgin, H., 2019. Transformation to advanced mechatronics systems within new industrial revolution: A novel framework in automation of everything (AoE). IEEE Access. 7, 41395–41415. DOI: https://doi.org/10.1109/ACCESS.2019.2907809
54. [54] Mustapha, K.B., 2025. A survey of emerging applications of large language models for problems in mechanics, product design, and manufacturing. Advanced Engineering Informatics. 64, 103066. DOI: https://doi.org/10.1016/j.aei.2024.103066
55. [55] Taylor, A.T., Berrueta, T.A., Murphey, T.D., 2021. Active learning in robotics: A review of control principles. Mechatronics. 77, 102576. DOI: https://doi.org/10.1016/j.mechatronics.2021.102576
56. [56] Kane, G., 2019. The technology fallacy: people are the real key to digital transformation. Research-Technology Management. 62(6), 44–49.
57. [57] Habib, M.K., 2008. Human adaptive and friendly mechatronics (HAFM). In Proceedings of the 2008 IEEE International Conference on Mechatronics and Automation, Takamatsu, Japan, 5–8 August 2008; pp. 61–65. DOI: https://doi.org/10.1109/ICMA.2008.4798726
58. [58] Bernstein, J.H., 2014. Disciplinarity and transdisciplinarity in the study of knowledge. Informing Science: The International Journal of an Emerging Transdiscipline. 17, 241–273.
59. [59] Horváth, I., 2025. Deriving manageable transdisciplinary research models for complicated problematics associated with next-generation cyber-physical systems: Part 3 - Constructing research models. Transdisciplinary Journal of Engineering & Science. 16, 25–51. DOI: https://doi.org/10.22545/2025/00267

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