Abstract
Cooperative control of mobile robots allows to transport heavy loads collaboratively between 2 or more robots, these applications have motivated the development of new control strategies to coordinate multiple robots automatically. On the other hand, energy optimization in robotic systems is increasingly important to ensure autonomy and take care of resources. This article introduces an application for cooperative control of 3 mobile robots in open loop, the goal is to coordinate the position and parameters of the triangular shape created from the distances between robots. The control algorithm is designed using the Pontryagin principle, starting from the training model and solving differential equations with numerical methods. Mobile robots are built using 3D printing technology and free hardware with wireless Bluetooth communication to receive orders from the remote station. The application is implemented on a computer by inserting the developed algorithm and generating the control orders, this program is developed in Matlab through a main menu for user management. The results present the simulation and experimentation of the system, highlighting the positions and velocities generated by cooperative control with energy optimization, as well as the images of the movements made by the robots according to the orders sent. Finally, a usability score for the app that demonstrates high acceptance is obtained.
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Espera, A.H., Dizon, J.R.C., Chen, Q., Advincula, R.C.: 3D-printing and advanced manufacturing for electronics. Prog. Addit. Manufact. 4(3), 245–267 (2019). https://doi.org/10.1007/s40964-019-00077-7
Buitrago, P.A., et al.: Mobile arduino robot programming using a remote laboratory in UNAD: pedagogic and technical aspects. In: Auer, M.E., May, D. (eds.) REV 2020. AISC, vol. 1231, pp. 171–183. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-52575-0_14
Kassawat, M., Cervera, E., del Pobil, A.P.: Multi-robot user interface for cooperative transportation tasks. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds.) IWINAC 2019. LNCS, vol. 11487, pp. 77–81. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-19651-6_8
Varela-Aldás, J., Miranda-Quintana, O., Guevara, C., Castillo, F., Palacios-Navarro, G.: Educational robot using lego mindstorms and mobile device. In: Advances and Applications in Computer Science, Electronics and Industrial Engineering. CSEI 2019. Advances in Intelligent Systems and Computing, pp. 71–82 (2019). https://doi.org/10.1007/978-3-030-33614-1_5.
Varela-Aldás, J., Buele, J., Jadan-Guerrero, J., Andaluz, V.H.: Teaching STEM competencies through an educational mobile robot. In: Zaphiris, P., Ioannou, A. (eds.) HCII 2020. LNCS, vol. 12206, pp. 560–573. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50506-6_38
Varela-Aldás, J., Guamán, J., Paredes, B., Chicaiza, F.A.: Robotic cane for the visually impaired. In: Antona, M., Stephanidis, C. (eds.) HCII 2020. LNCS, vol. 12188, pp. 506–517. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49282-3_36
Mantha, B.R.K., Jung, M.K., de Soto, B.G., Menassa, C.C., Kamat, V.R.: Generalized task allocation and route planning for robots with multiple depots in indoor building environments. Autom. Constr. 119, 103359 (2020)
Follini, C., et al.: BIM-integrated collaborative robotics for application in building construction and maintenance (2021). https://doi.org/10.3390/robotics10010002
Bottin, M., Cocuzza, S., Comand, N., Doria, A.: Modeling and identification of an industrial robot with a selective modal approach (2020). https://doi.org/10.3390/app10134619
Huang, Y., Li, Z., Jiang, Y., Cheng, L.: Cooperative path planning for multiple mobile robots via HAFSA and an expansion logic strategy (2019). https://doi.org/10.3390/app9040672
Liu, S., Sun, D.: Modeling and experimental study for minimization of energy consumption of a mobile robot. In: 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pp. 708–713 (2012) https://doi.org/10.1109/AIM.2012.6265887.
Verstraten, T., Furnémont, R., Mathijssen, G., Vanderborght, B., Lefeber, D.: Energy consumption of geared DC motors in dynamic applications: comparing modeling approaches. IEEE Robot. Autom. Lett. 1, 524–530 (2016). https://doi.org/10.1109/LRA.2016.2517820
Braga, A., Logan, R.K.: The emperor of strong AI has no clothes: limits to artificial intelligence2017https://doi.org/10.3390/info8040156
Varela-Aldás, J., Chávez-Ruiz, P., Buele, J.: Automation of a Lathe to increase productivity in the manufacture of stems of a metalworking company. In: Botto-Tobar, M., Zambrano Vizuete, M., Torres-Carrión, P., Montes León, S., Pizarro Vásquez, G., Durakovic, B. (eds.) ICAT 2019. CCIS, vol. 1195, pp. 244–254. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-42531-9_20
Goldhoorn, A., Garrell, A., Alquézar, R., Sanfeliu, A.: Searching and tracking people with cooperative mobile robots. Auton. Robots. 42, 739–759 (2018)
Acosta, J.F., de Rivera, G.G., Andaluz, V.H., Garrido, J.: Multirobot Heterogeneous control considering secondary objectives. Sensors 19, 4367 (2019)
Asgari, M., Nikoobin, A.: Analysis of optimal dynamic manipulation for robotic manipulator based on Pontryagin’s minimum principle. Arab. J. Sci. Eng. 45(11), 9159–9169 (2020). https://doi.org/10.1007/s13369-020-04663-8
Subbaram Naidu, D.: Optimal control systems (2002)
Ebel, H., Eberhard, P.: A comparative look at two formation control approaches based on optimization and algebraic graph theory. Rob. Auton. Syst. 136, 103686 (2020)
Inoue, D., Ito, Y., Yoshida, H.: Optimal transport-based coverage control for swarm robot systems: generalization of the voronoi tessellation-based method. IEEE Control Syst. Lett. 5, 1483–1488 (2020)
Holovatenko, I., Pysarenko, A.: Energy-efficient path-following control system of automated guided vehicles. J. Control. Autom. Electr. Syst. 32, 1–14 (2021)
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Varela-Aldás, J., Ichina, C., Ruales, B., Andaluz, V.H. (2021). Application for the Cooperative Control of Mobile Robots with Energy Optimization. In: Kurosu, M. (eds) Human-Computer Interaction. Interaction Techniques and Novel Applications. HCII 2021. Lecture Notes in Computer Science(), vol 12763. Springer, Cham. https://doi.org/10.1007/978-3-030-78465-2_25
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