Abstract
Recently, open source-based robotics applications have been developed, where precision in movement control is considered the main objective when following a trajectory based on direct or reverse kinematics; however, due to different disturbances, small errors can interfere with the execution of orders sent for the individual control of the manipulator’s joints. To improve the precision in the movement of the final effector within the Cartesian space, this research proposes a method based on gravitational compensation, canceling the dynamic analysis of the robotic arm. The control algorithm is a ROS-based system that integrates concepts of low-cost automation; this algorithm resides inside a low-cost controller as Raspberry Pi that is used for rapid exchange of information between the Kuka youBot robotic arm and a graphical interface that allows an interaction between the user and the system components.
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References
Binazadeh, T., Yousefi, M.: Designing a cascade-control structure using fractional-order controllers: time-delay fractional-order proportional-derivative controller and fractional-order sliding-mode controller. J. Eng. Mech. 143(7), 04017037 (2017). https://doi.org/10.1061/(ASCE)EM.1943-7889.0001234
de Gea Fernández, J., Mronga, D., Günther, M., Knobloch, T., Wirkus, M., Schröer, M., Trampler, M., Stiene, S., Kirchner, E., Bargsten, V., Bänziger, T., Teiwes, J., Krüger, T., Kirchner, F.: Multimodal sensor-based whole-body control for human-robot collaboration in industrial settings. Robot. Auton. Syst. 94, 102–119 (2017). https://doi.org/10.1016/j.robot.2017.04.007, http://www.sciencedirect.com/science/article/pii/S0921889016305127
Di Napoli, G., Filippeschi, A., Tanzini, M., Avizzano, C.A.: A novel control strategy for youBot arm. In: IECON 2016—42nd Annual Conference of the IEEE Industrial Electronics Society. pp. 482–487 (2016). https://doi.org/10.1109/IECON.2016.7793658
Garcia, C.A., Franklin, S.L., Mariño, C., Villalba, W.R., Garcia, M.V.: Design of flexible cyber-physical production systems architecture for industrial robot control. In: 2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM). pp. 1–6 (2018). https://doi.org/10.1109/ETCM.2018.8580338
Garcia, C.A., Lanas, D., Edison, A.M., Altamirano, S., Garcia, M.V.: An approach of cyber-physical production systems architecture for robot control. In: IECON 2018—44th Annual Conference of the IEEE Industrial Electronics Society. pp. 2847–2852 (2018). https://doi.org/10.1109/IECON.2018.8591286
Hernández, V., Santibáñez, V., Carrillo, R., Molina, J., López, J.: Control pd de robots: Dinámica de actuadores y nueva sintonía. Revista Iberoamericana de Automática e Informática Industrial RIAI 5(4), 62–68 (2008). https://doi.org/10.1016/S1697-7912(08)70178-X, http://www.sciencedirect.com/science/article/pii/S169779120870178X
Koubâa, A.: Robot Operating System (ROS). Springer (2017). https://doi.org/10.1007/978-3-319-26054-9
Peidró, A., Reinoso, Ó., Gil, A., Marín, J.M., Payá, L.: Análisis de estabilidad de singularidades aisladas en robots paralelos mediante desarrollos de taylor de segundo orden (2017)
Wang, L., Törngren, M., Onori, M.: Current status and advancement of cyber-physical systems in manufacturing. J. Manufact. Syst. 37, 517–527 (2015). https://doi.org/10.1016/j.jmsy.2015.04.008, http://www.sciencedirect.com/science/article/pii/S0278612515000400
Yu, C., Li, Z., Liu, H.: Research on gravity compensation of robot arm based on model learning*. In: 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pp. 635–641 (2019). https://doi.org/10.1109/AIM.2019.8868673
Zhang, B., Gao, S.: Kuka youBot arm path planning based on gravity. In: 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018). Atlantis Press (2018/05). https://doi.org/10.2991/meees-18.2018.75
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This work was financed by Universidad Tecnica de Ambato (UTA) and their Research and Development Department (DIDE) under project CONIN-P-256-2019
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Caiza, G., Alvarez-Montenegro, D., Escobar-Naranjo, J., Garcia, C.A., Garcia, M.V. (2020). Gravity Compensation Using Low-Cost Automation for Robot Control. In: Rocha, Á., Paredes-Calderón, M., Guarda, T. (eds) Developments and Advances in Defense and Security. MICRADS 2020. Smart Innovation, Systems and Technologies, vol 181. Springer, Singapore. https://doi.org/10.1007/978-981-15-4875-8_18
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DOI: https://doi.org/10.1007/978-981-15-4875-8_18
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