Teleoperation of Mecanum Wheels Robot Actuation Integrated with MQTT as an Interactive STEM Learning Tool
DOI:
https://doi.org/10.25047/tefa.v3i1.6832Keywords:
Mecanum wheels robot, Teleoperation, MQTT, STEM, IoTAbstract
This research presents the development of a teleoperation system for a mecanum wheel robot actuation integrated with the MQTT (Message Queuing Telemetry Transport) protocol to be used as an interactive STEM (Science, Technology, Engineering, and Mathematics) learning tool. The system employs four independently actuated mecanum wheels enabling omnidirectional mobility through coordinated wheel control. The teleoperation architecture utilizes a Raspberry Pi 3B+ connected to HiveMQ Cloud broker implementing MQTT protocol for real-time remote actuation via Flutter-based mobile interface. Each wheel actuation is controlled through L298N motor drivers operating at 300Hz PWM (Pulse Width Modulation) frequency, providing precise speed and directional control. Experimental results demonstrate system reliability with an average position deviation of 1.86 cm for forward actuation, 1.93 cm for backward, 2.64 cm for left slide, and 1.71 cm for right slide movements across 140 cm distance. The MQTT integration achieves a command execution latency of 200-400ms, suitable for educational teleoperation applications. The Flutter interface provides intuitive control with real-time visualization of wheel actuation states, enhancing user understanding of mecanum wheel kinematics. This implementation successfully demonstrates the effective use of teleoperation of a mecanum wheel robot actuation as platform for interactive STEM education, providing hands-on experience in robotics actuation, IoT protocols, control systems, and mobile application development.
References
1 X. Wang, S. Guo, Z. Xu, Z. Zhang, Z. Sun, and Y. Xu, “A Robotic Teleoperation System Enhanced by Augmented Reality for Natural Human–Robot Interaction,” Cyborg and Bionic Systems, vol. 5, Jan. 2024, doi: 10.34133/cbsystems.0098.
2 C. Pacchierotti and D. Prattichizzo, “Cutaneous/Tactile Haptic Feedback in Robotic Teleoperation: Motivation, Survey, and Perspectives,” IEEE Transactions on Robotics, vol. 40, pp. 978–998, 2024, doi: 10.1109/TRO.2023.3344027.
3 K. Darvish et al., “Teleoperation of Humanoid Robots: A Survey,” IEEE Transactions on Robotics, vol. 39, no. 3, pp. 1706–1727, Jun. 2023, doi: 10.1109/TRO.2023.3236952.
4 M.-C. Yuen, K. K. Chan, and K. S. Li, “Mobile App Controlled Modular Combat Robot for STEM Education,” in 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), IEEE, Jan. 2021, pp. 64–68. doi: 10.1109/COMSNETS51098.2021.9352927.
5 C. Sen, Z. S. Ay, and S. A. Kiray, “Computational thinking skills of gifted and talented students in integrated STEM activities based on the engineering design process: The case of robotics and 3D robot modeling,” Think Skills Creat, vol. 42, p. 100931, Dec. 2021, doi: 10.1016/j.tsc.2021.100931.
6 Lela TAVDGIRIDZE et al., “STEM Teaching in Contemporary Education,” Challenges to National Defence in Contemporary Geopolitical Situation, vol. 1, no. 1, Nov. 2024, doi: 10.3849/cndcgs.2024.296.
7 E. Viana, V. H. Pinto, J. Lima, and G. Goncalves, “Mecanum Wheel Robotic Platform for Educational Purposes: A Cost-Effective Approach,” in 2022 10th International Conference on Control, Mechatronics and Automation (ICCMA), IEEE, Nov. 2022, pp. 71–75. doi: 10.1109/ICCMA56665.2022.10011588.
8 P. S. Yadav, J. C. Mohanta, V. Agrawal, and MD. F. Ahmed, “Modeling and performance evaluation of mecanum wheel platform with reduced vibration and a robust path planning,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 46, no. 5, p. 292, May 2024, doi: 10.1007/s40430-024-04847-5.
9 M. Burkacki, I. Łysy, S. Suchoń, M. Chrzan, and R. Kowolik, “Systematic Review of Mecanum and Omni Wheel Technologies for Motor Impairments,” Applied Sciences, vol. 15, no. 9, p. 4773, Apr. 2025, doi: 10.3390/app15094773.
10 J. López-Belmonte, A. Segura-Robles, A.-J. Moreno-Guerrero, and M.-E. Parra-González, “Robotics in Education: A Scientific Mapping of the Literature in Web of Science,” Electronics (Basel), vol. 10, no. 3, p. 291, Jan. 2021, doi: 10.3390/electronics10030291.
11 E. Barakova, K. Väänänen, K. Kaipainen, and P. Markopoulos, “Benefits, Challenges and Research Recommendations for Social Robots in Education and Learning: A Meta-Review,” in 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), IEEE, Aug. 2023, pp. 2555–2561. doi: 10.1109/RO-MAN57019.2023.10309345.
12 S.-T. Chu, G.-J. Hwang, and Y.-F. Tu, “Artificial intelligence-based robots in education: A systematic review of selected SSCI publications,” Computers and Education: Artificial Intelligence, vol. 3, p. 100091, 2022, doi: 10.1016/j.caeai.2022.100091.
13 E. Lopez-Caudana, G. Rodríguez-Abitia, S. Martínez-Pérez, P. Anton-Ares, and M.-S. Ramírez-Montoya, “Scenarios of the use of robotics as a support tool for teaching,” in Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’21), New York, NY, USA: ACM, Oct. 2021, pp. 38–43. doi: 10.1145/3486011.3486416.
14 F. Ouyang and W. Xu, “The effects of educational robotics in STEM education: a multilevel meta-analysis,” Int J STEM Educ, vol. 11, no. 1, p. 7, Feb. 2024, doi: 10.1186/s40594-024-00469-4.
15 I. Trapero-González, F. J. Hinojo-Lucena, J.-M. Romero-Rodríguez, and A. Martínez-Menéndez, “Didactic impact of educational robotics on the development of STEM competence in primary education: a systematic review and meta-analysis,” Front Educ (Lausanne), vol. 9, Dec. 2024, doi: 10.3389/feduc.2024.1480908.
16 A. Latip, Y. Andriani, S. Purnamasari, and D. Abdurrahman, “Integration of educational robotic in STEM learning to promote students’ collaborative skill,” J Phys Conf Ser, vol. 1663, no. 1, p. 012052, Oct. 2020, doi: 10.1088/1742-6596/1663/1/012052.
17 C. E. Hughes et al., “RAISE: Robotics & AI to improve STEM and social skills for elementary school students,” Front Virtual Real, vol. 3, Oct. 2022, doi: 10.3389/frvir.2022.968312.
18 D. Darmawansah, G.-J. Hwang, M.-R. A. Chen, and J.-C. Liang, “Trends and research foci of robotics-based STEM education: a systematic review from diverse angles based on the technology-based learning model,” Int J STEM Educ, vol. 10, no. 1, p. 12, Feb. 2023, doi: 10.1186/s40594-023-00400-3.
19 M. Palioura and T. Sapounidis, “‘Storytelling and educational robotics: A scoping review (2004–2024),’” Comput Educ, vol. 225, p. 105186, Feb. 2025, doi: 10.1016/j.compedu.2024.105186.
20 C. Chaichumporn et al., “The Dynamical Modeling of Four Mecanum Wheel Mobile Robot on Typical Unstructured Terrain,” in 2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), IEEE, May 2024, pp. 1–5. doi: 10.1109/ECTI-CON60892.2024.10594952.
21 J. C. O. Hernández and D. I. R. Almeida, “Experimental control approach of a mecanum-wheeled mobile robot for slippage error and energy consumption reduction on different surfaces,” Journal of Mechanical Science and Technology, vol. 38, no. 11, pp. 6309–6318, Nov. 2024, doi: 10.1007/s12206-024-1042-8.
22 J. C. O. Hernández and D. I. R. Almeida, “Kinematic control in a four‐wheeled Mecanum mobile robot for trajectory tracking,” The Journal of Engineering, vol. 2024, no. 9, Sep. 2024, doi: 10.1049/tje2.70006.
23 E. Viana, V. H. Pinto, J. Lima, and G. Goncalves, “Mecanum Wheel Robotic Platform for Educational Purposes: A Cost-Effective Approach,” in 2022 10th International Conference on Control, Mechatronics and Automation (ICCMA), IEEE, Nov. 2022, pp. 71–75. doi: 10.1109/ICCMA56665.2022.10011588.
24 T. Luu et al., “Enhancing real-time robot teleoperation with immersive virtual reality in industrial IoT networks,” The International Journal of Advanced Manufacturing Technology, vol. 139, no. 11–12, pp. 6233–6257, Aug. 2025, doi: 10.1007/s00170-025-16236-w.
25 E. Shahri, P. Pedreiras, and L. Almeida, “Extending MQTT with Real-Time Communication Services Based on SDN,” Sensors, vol. 22, no. 9, p. 3162, Apr. 2022, doi: 10.3390/s22093162.
26 J. Rouillard and J.-M. Vannobel, “Multimodal Interaction for Cobot Using MQTT,” Multimodal Technologies and Interaction, vol. 7, no. 8, p. 78, Aug. 2023, doi: 10.3390/mti7080078.
27 Y.-P. Su, X.-Q. Chen, C. Zhou, L. H. Pearson, C. G. Pretty, and J. G. Chase, “Integrating Virtual, Mixed, and Augmented Reality into Remote Robotic Applications: A Brief Review of Extended Reality-Enhanced Robotic Systems for Intuitive Telemanipulation and Telemanufacturing Tasks in Hazardous Conditions,” Applied Sciences, vol. 13, no. 22, p. 12129, Nov. 2023, doi: 10.3390/app132212129.
28 A. Jdidou and S. Aammou, “ENHANCING ROBOTIC EDUCATION: THE IMPACT OF INTERACTIVE TALKING ROBOTS ON LEARNING AND ENGAGEMENT,” Jul. 2024, pp. 10122–10128. doi: 10.21125/edulearn.2024.2438.
29 A. Juškevičienė, V. Dagienė, and V. Dolgopolovas, “Integrated activities in STEM environment: Methodology and implementation practice,” Computer Applications in Engineering Education, vol. 29, no. 1, pp. 209–228, Jan. 2021, doi: 10.1002/cae.22324.
30 R. AlAli, “ENHANCING 21ST CENTURY SKILLS THROUGH INTEGRATED STEM EDUCATION USING PROJECT-ORIENTED PROBLEM-BASED LEARNING,” GeoJournal of Tourism and Geosites, vol. 53, no. 2, pp. 421–430, Jun. 2024, doi: 10.30892/gtg.53205-1217.
31 A. Suarez, D. García-Costa, J. Perez, E. López-Iñesta, F. Grimaldo, and J. Torres, “Hands-on Learning: Assessing the Impact of a Mobile Robot Platform in Engineering Learning Environments,” Sustainability, vol. 15, no. 18, p. 13717, Sep. 2023, doi: 10.3390/su151813717.
32 Y. Ao and Z. Yu, “Exploring the Relationship between Interactions and Learning Performance in Robot-Assisted Language Learning,” Educ Res Int, vol. 2022, pp. 1–13, Apr. 2022, doi: 10.1155/2022/1958317.
33 M. Talebi and M. Safaei, “Measuring User Engagement in Educational Platforms: A Study on Interactive vs. Passive Learning,” International Journal of Advanced Human Computer Interaction International Journal of Advanced Human Computer Interaction (IJAHCI) International Journal of Advanced Human Computer Interaction, vol. 1, no. 1, pp. 53–62, 2022.
34 X. Zhang, “Internet of Things and Cloud Computing-Powered Virtual Laboratories for Enhanced STEM Education,” Journal of The Institution of Engineers (India): Series B, Jan. 2025, doi: 10.1007/s40031-024-01192-y.
35 M. Wallace and W. Freitas, “Resources for Underwater Robotics Education,” J Ext, vol. 54, no. 2, Apr. 2016, doi: 10.34068/joe.54.02.02.
36 E. Tzagkaraki, S. Papadakis, and M. Kalogiannakis, “Exploring the Use of Educational Robotics in Primary School and Its Possible Place in the Curricula,” in EDUROBOTICS 2021. Studies in Computational Intelligence, vol 982, Springer, Cham, 2021, pp. 216–229. doi: 10.1007/978-3-030-77022-8_19.
37 G. Mester, “Massive Open Online Courses in Education of Robotics,” Interdisciplinary Description of Complex Systems, vol. 14, no. 2, pp. 182–187, 2016, doi: 10.7906/indecs.14.2.7.
38 E. Heinmäe, J. Leoste, K. Kori, and K. Mettis, “Enhancing Teacher-Students’ Digital Competence with Educational Robots,” in RiE 2021. Advances in Intelligent Systems and Computing, vol 1359, Springer, Cham, 2022, pp. 155–165. doi: 10.1007/978-3-030-82544-7_15.
39 N. M. Holincheck, T. Kraft, T. M. Galanti, C. K. Baker, and J. K. Nelson, “‘Everybody Was Included in the Conversation’: Teachers’ Perceptions of Student Engagement in Transdisciplinary STEM Learning in Diverse Elementary Schools,” Educ Sci (Basel), vol. 14, no. 3, p. 242, Feb. 2024, doi: 10.3390/educsci14030242.
40 E. A. Padilla-García, R. D. Cruz-Morales, J. González-Sierra, D. Tinoco-Varela, and M. R. Lorenzo-Gerónimo, “Design, Assembly and Control of a Differential/Omnidirectional Mobile Robot through Additive Manufacturing,” Machines, vol. 12, no. 3, p. 163, Feb. 2024, doi: 10.3390/machines12030163.
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