Abstract
Robotics competitions are highly strategic tools to engage and motivate students, cultivating their curiosity and enthusiasm for technology and robotics. These competitions encompass various disciplines, such as programming, electronics, control systems, and prototyping, often beginning with developing a mobile platform. This paper focuses on designing and implementing an omnidirectional mecanum platform, encompassing aspects of mechatronics, mechanics, electronics, kinematics models, and control. Additionally, a simulation model is introduced and compared with the physical robot, providing a means to validate the proposed platform.
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References
Maciel, G.M., Pinto, M.F., da Júnior, I.C.S., Coelho, F.O., Marcato, A.L.M., Cruzeiro, M.M.: Shared control methodology based on head positioning and vector fields for people with quadriplegia. Robotica 40(2), 348–364 (2022)
Kim, J., Mishra, A.K., Limosani, R., Scafuro, M., Cauli, N., Santos-Victor, J., Mazzolai, B., Cavallo, F.: Control strategies for cleaning robots in domestic applications: a comprehensive review. Int. J. Adv. Robot. Syst. 16(4), 1729881419857432 (2019)
Coelho, F.O., Pinto, M.F., Souza, J.P.C., Marcato, A.L.M.: Hybrid methodology for path planning and computational vision applied to autonomous mission: a new approach. Robotica 38(6), 1000–1018 (2020)
Javaid, M., Haleem, A., Singh, R.P., Suman, R.: Substantial capabilities of robotics in enhancing industry 4.0 implementation. Cogn. Robot. 1, 58–75 (2021)
Pinto, M.F., Honório, L.M., Marcato, A.L.M., Dantas, M.A.R., Melo, A.G., Capretz, M., Urdiales, C.: Arcog: an aerial robotics cognitive architecture. Robotica 39(3), 483–502 (2021)
Costa, P.J., Moreira, N., Campos, D., Gonçalves, J., Lima, J., Luís Costa, P.: Localization and navigation of an omnidirectional mobile robot: The robot@ factory case study. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje 11(1), 1–9 (2016)
Braun, J., Fernandes, L.A., Moya, T., Oliveira, V., Brito, T., Lima, J., Costa, P:. Robot@ factory lite: an educational approach for the competition with simulated and real environment. In: Robot 2019: Fourth Iberian Robotics Conference: Advances in Robotics, vol. 1, pp. 478–489. Springer (2020)
Braun, J., Júnior, A.O., Berger, G., Pinto, V.H., Soares, I.N., Pereira, A.I., Lima, J., Costa, P.: A robot localization proposal for the robotatfactory 4.0: A novel robotics competition within the industry 4.0 concept. Front. Robot. AI 9 (2022)
Almeida, L.B., Azevedo, J., Cardeira, C., Costa, P., Fonseca, P., Lima, P., Fernando Ribeiro, A., Santos, V.: Mobile robot competitions: fostering advances in research, development and education in robotics (2000)
Murphy, R.R.: “Competing” for a robotics education. IEEE Robot. Autom. Mag. 8(2), 44–55 (2001)
Murphy, R.R.: Using robot competitions to promote intellectual development. AI Mag. 21(1), 77–77 (2000)
Ji, C., Wang, H., Sun, Q.: Improved particle filter algorithm for robot localization. In: 2010 2nd International Conference on Education Technology and Computer, vol. 4, pp. V4–171. IEEE (2010)
Yu, J., Hua Liu, K., Luo, P.: A mobile rfid localization algorithm based on instantaneous frequency estimation. In: 2011 6th International Conference on Computer Science & Education (ICCSE), pp. 525–530. IEEE (2011)
Gonçalves, J., Lima, J., Costa, P.J., Moreira, A.P.: Modeling and simulation of the emg30 geared motor with encoder resorting to simtwo: the official robot@ factory simulator. In: Advances in Sustainable and Competitive Manufacturing Systems: 23rd International Conference on Flexible Automation & Intelligent Manufacturing, pp. 307–314. Springer (2013)
Sileshi, B.G., Oliver, J., Toledo, R., Gonçalves, J., Costa, P.: Particle filter slam on fpga: a case study on robot@ factory competition. In: Robot 2015: Second Iberian Robotics Conference: Advances in Robotics, vol. 1, pp. 411–423. Springer (2016)
Lima, J., Oliveira, V., Brito, T., Gonçalves, J., Pinto, V.H., Costa, P., Torrico, C.: An industry 4.0 approach for the robot@ factory lite competition. In: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp. 239–244. IEEE (2020)
Ferreira, T., Braun, J., Lima, J., Pinto, V.H., Santos, M., Costa, P.: Robot at factory 4.0: an auto-referee proposal based on artificial vision. In: ROBOT2022: Fifth Iberian Robotics Conference: Advances in Robotics, vol. 1, pp. 475–487. Springer (2022)
Taheri, H., Qiao, B., Ghaeminezhad, N.: Kinematic model of a four mecanum wheeled mobile robot. Int. J. Comput. Appl. 113(3), 6–9 (2015)
Acknowledgment
The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). The project that gave rise to these results received the support of a fellowship from “la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI20/11780028. The authors would like to thank CEFET/RJ and the Brazilian research agencies CAPES, CNPq, and FAPERJ.
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Braun, J. et al. (2024). Design and Development of an Omnidirectional Mecanum Platform for the RobotAtFactory 4.0 Competition. In: Youssef, E.S.E., Tokhi, M.O., Silva, M.F., Rincon, L.M. (eds) Synergetic Cooperation Between Robots and Humans. CLAWAR 2023. Lecture Notes in Networks and Systems, vol 810. Springer, Cham. https://doi.org/10.1007/978-3-031-47269-5_13
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DOI: https://doi.org/10.1007/978-3-031-47269-5_13
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