MOTION CONTROL AND COORDINATION PLATFORM FOR MOBILE ROBOTS

MOTION CONTROL AND COORDINATION PLATFORM FOR MOBILE ROBOTS

M. Kolsi, Y. Ghozzi (2024).  MOTION CONTROL AND COORDINATION PLATFORM FOR MOBILE ROBOTS.

The training of a mechatronics engineer requires the application of a variety of skills in different projects. The "Robotics Project" optional module is aimed at 5th year Electromechanics students, who will be able to read up on a wide range of subjects such as embedded systems, sampled systems, automatics, robotics, machine control, programming and IOT, all of which form part of the training curriculum for Mechatronics engineers (standards 1,2,3). The implementation of a servo-controlled mobile platform highlights the different variants listed in a pedagogical approach that links these different modules in a single project. This project provides engineering students with a global vision of their field, putting into practice a range of knowledge that students may not see in the modules in question or in previously developed projects. This generalization of practices touches on knowledge encompassing several modules. This approach takes the form of a workshop to review the theoretical notions already studied and link them up with the project (standards 4). The first workshops focus on embedded systems and machine control, using microcontroller boards to read encoders and set the appropriate command. Then, the interpretation of velocity is done through the choice of an echo frequency (standard 5). To finalize the work, we are connecting each robot so that it can send back its position wirelessly via an IOT communication protocol (standards 6,7,8). A second version of the project is developed this year with a different robot model. To achieve more satisfactory results, we have introduced more guided sessions to focus more closely on the desired learning outcomes through skills-based learning scenarios. The results of this second approach are still in progress. The whole platform is used as a validation tool for a group robotics platform to test different group motion algorithms. A positive results of student survey highlight the crucial role of practical projects in preparing mechatronics engineers for the dynamic professional landscape, with continuous improvements ensuring the module's sustained efficiency.

Authors (New): 
Mohamed Kolsi
Yosr Ghozzi
Affiliations: 
ESPRIT School of Engineering, Tunisia
Keywords: 
Robotics
Embedded Systems
IoT
Integrated Learning
CDIO Syllabus 1
CDIO Syllabus 4
CDIO Standard 1
CDIO Standard 2
CDIO Standard 3
CDIO Standard 5
CDIO Standard 6
CDIO Standard 7
CDIO Standard 8
Year: 
2024
Reference: 
Baranowski, J., Kucharska, E., Kawalec, M., Malinowski, P., & Piwowarski, G. (2023). Creating Future Engineers: A Case Study of an Interdisciplinary Undergraduate Course in Technologies for Industry 4.0. In 2023 IEEE 10th International Conference on E-Learning in Industrial Electronics (ICELIE) (pp. 1-6). IEEE.: 
http://dx.doi.org/10.1109/ICELIE58531.2023.10313099
Bravo F., Hurtado J., González E. (2020). Educational robotics projects that promote innovation and social commitment skills. 2. 2020 16th International CDIO Conference, Chalmers UT, Sweden: 
Daniela, L. (2019). Smart Learning with Educational Robotics. Springer International Publishing. : 
Daniela, L., Lytras, M.D., (2018) Educational robotics for inclusive education// Technology, Knowledge and Learning, pp 1-7: 
https://doi.org/10.1007/s10758-018-9397-5
De Carvalho C. (2016). Project Based Learning: An Approach to one Robotic Cell Design. 10. 2016 12th International CDIO Conference, Turku UAS, Finland: 
Jenabi, S. H., Shahri, A. M., & Beyad, M. R. (2016). Advanced mechatronics course based on wheeled mobile robots and real-time embedded control experimental setups. In 2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA) (pp. 413-418). IEEE.: 
http://dx.doi.org/10.1109/ICCIAutom.2016.7483198
Mugure, M. A. (2019). Design and fabrication of an autonomous line follower robot capable of picking and dropping objects from one point to another (Doctoral dissertation, Doctoral dissertation, Kenyatta University).: 
Romeo, L., Petitti, A., Marani, R., & Milella, A. (2020). Internet of robotic things in smart domains: Applications and challenges. Sensors, 20(12), 3355.: 
https://doi.org/10.3390/s20123355
Sackey, S. M., & Bester, A. (2016). Industrial engineering curriculum in Industry 4.0 in a South African context. South African Journal of Industrial Engineering, 27(4), 101-114.: 
http://dx.doi.org/10.7166/27-4-1579
Sale, D. (2015). Creative Teaching: An Evidence-Based Approach. New York: Springer: 
Sánchez F., Morales M. Londoño J., Sánchez C., López G. (2017). Using Robotics to Generate Collaborative Learning, through the CDIO Initiative. 10. 2017 13th International CDIO Conference in Calgary, Canada: 
Seeja, G., Reddy, O., Kumar, K. V. R., & Mounika, S. S. L. C. H. (2021). Internet of things and robotic applications in the industrial automation process. In Innovations in the Industrial Internet of Things (IIoT) and Smart Factory (pp. 50-64). IGI Global.: 
https://doi.org/10.4018/978-1-7998-3375-8.ch004
Suarez, A., García-Costa, D., Perez, J., López-Iñesta, E., Grimaldo, F., & Torres, J. (2023). Hands-on Learning: Assessing the Impact of a Mobile Robot Platform in Engineering Learning Environments. Sustainability, 15(18), 13717.: 
https://doi.org/10.3390/su151813717
Wei, Z. (2016). Modular Design of an Educational Robotics Platform. Graduate Theses - Electrical and Computer Engineering. Rose Hulman Institute of Technology.: 
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