Abstract
This paper is devoted to the study and control of an aerial manipulator robot (AMR) to perform tracking tasks autonomously, in order to apply LQR linear system control algorithms and application methods in a 3D virtual environment. Prior to obtaining a linearized kinematic model of the robotic systems allows to perform missions that require both navigation and manipulation capabilities in partially structured areas or environments. Through the use of the advanced control algorithm, a virtualized environment was developed in a 3D simulator for educational processes as a form of testing, which allows evaluating the movement and evolution of the control errors, both for verification and visualization of the RMA behavior. Finally, the stability and robustness of the proposed RMA control is tested and experimentally analyzed using the DJI Matrice 600 Pro UAV tethered to an anthropomorphic 3DOF robotic arm. Therefore, these results are exposed and discussed to validate the proposed controller and ensure its correct operation.
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References
Carvajal, C.P., Andaluz, V.H., Roberti, F., Carelli, R.: Path-following control for aerial manipulators robots with priority on energy saving. Control Eng. Pract. 131, 105401 (2023). https://doi.org/10.1016/j.conengprac.2022.105401
Atanasoski, N., Vora, K.: Surrogate humanity: race, robots, and the politics of technological futures. Duke University Press: Google-Books-ID: oyaJDwAAQBAJ (2019)
Vallès-Peris, N., Domènec, M.: Roboticists’ imaginaries of robots for care: the radical imaginary as a tool for an ethical discussion. Eng. Stud. 12(3), 157–176 (2020). https://doi.org/10.1080/19378629.2020.1821695
International Federation Robotics: The Impact of Robots on Productivity, Employment and Jobs. IFR Press Releases, April 2017
Vazquez, E.: Development of an object detection and manipulation system for a service robot. Universidad autónoma de México, pp. 9–112 (2018)
Zeng, W.: An empirical research on China’s policy for ICT integration in Basic Education from 1988 to 2021. Educ. Technol. Res. Dev. 70, 1059–1082 (2022)
Morales-Doyle, D.: There is no equity in a vacuum: on the importance of historical, political, and moral considerations in science education. Cult. Stud. Sci. Educ. 14, 485–491 (2019)
Carvajal, C., Andaluz, V., Roberti, F., Carelli, R.: Optimal trajectory tracking control for a UAV based on linearized dynamic error (2020). https://doi.org/10.1007/978-3-030-55789-8_8
Koch, W., Mancuso, R., West, R., Bestavros, A.: Reinforcement learning for UAV attitude control. ACM Trans. Cyber-Phys. Syst. 3, 1–21 (2019)
Bacelar, T., Cardeira, C., Oliveira, P.: Cooperative load transportation with quadrotors. In: 2019 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp. 1–6 (2019). https://doi.org/10.1109/ICARSC.2019.8733619
Slawiñski, E.: Dual coordination for bilateral teleoperation of a mobile robot with time varying dela. IEEE Latin Am. Trans. 100(1e) (2020)
Pham, H.X., La, H.M., Feil-Seifer, D., Nguyen, L.V.: Autonomous UAV navigation using reinforcement learning, January 2018. http://arxiv.org/abs/1801.05086. Accessed 27 Apr 2022
Gómez-de-Gabriel, J.M., Gandarias, J.M., Pérez-Maldonado, F.J., García-Nuñez, F.J., FernándezGarcía, E.J., García-Cerezo, A.J.: Methods for autonomous wristband placement with a search-and-rescue aerial manipulator. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 2018
Andaluz, V.H., Carvajal, C.P., Pérez, J.A., Proaño, L.E.: Kinematic nonlinear control of Aerial mobile manipulators. In: Huang, Y.A., Wu, H., Liu, H., Yin, Z. (eds.) ICIRA 2017. LNCS (LNAI), vol. 10464, pp. 740–749. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65298-6_66
Ortiz, J.S., et al.: Modeling and kinematic nonlinear control of aerial mobile manipulators. In: Zeghloul, S., Romdhane, L., Laribi, M.A. (eds.) Computational Kinematics. MMS, vol. 50, pp. 87–95. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-60867-9_11
Kumar, R., Dechering, M., Pai, A.: Differential flatness based hybrid PID/LQR flight controller for complex trajectory tracking in quadcopter UAVs. In: 2017 IEEE National Aerospace and Electronics Conference (NAECON) (2017). https://doi.org/10.1109/naecon.2017.8268755
Mueller, M., Smith, N., Ghanem, B.: A benchmark and simulator for UAV tracking. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 445–461. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46448-0_27
Suarez, A., Caballero, A., Garofano, A., Sanchez-Cuevas, P.J., Heredia, G., Ollero, A.: Aerial manipulator with rolling base for inspection of pipe arrays. IEEE Access 8, 162516–162532 (2020). https://doi.org/10.1109/ACCESS.2020.3021126
Peng, H., Li, F., Liu, J., Ju, Z.: A symplectic instantaneous optimal control for robot trajectory tracking with differential-algebraic equation models. IEEE Trans. Ind. Electron. 67(5), 3819–3829 (2019). https://doi.org/10.1109/TIE.2019.2916390
Cardenas Alzate, P., Velez, G., Mesa, F.: Optimum control using finite time quadratic linear regulator. Contemp. Eng. Sci. 11, 4709–4716 (2018). https://doi.org/10.12988/ces.2018.89516
Al-Azawi, R., Shakkah, M.S.: Embedding augmented and virtual reality in educational learning method. Present and future. In: Proceedings of the 2018 9th International Conference on Information and Communication Systems (ICICS), Irbid, Jordan, pp. 3–5 April 2018
Roldán, J.J., Peña-Tapia, E., Garzón-Ramos, D., Garzón, M., del Cerro, J., Barrientos, A.: Multi-robot systems, virtual reality and ROS: «developing a new generation of operator interfaces». Robot. Oper. Syst. Complet. 3, 29–64 (2019)
Acknowledgment
The authors would like to thank the Universidad de las Fuerzas Armadas ESPE for their contribution to innovation, especially in the research project “Advanced Control of Unmanned Aerial Vehicles”, as well as the ARSI Research Group for their support in developing this work.
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Tercero, J.W., Ortiz, J.S. (2024). Meaningful Learning Processes of Service Robots for Tracking Trajectories Through Virtual Environments. In: Arai, K. (eds) Advances in Information and Communication. FICC 2024. Lecture Notes in Networks and Systems, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-031-54053-0_33
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DOI: https://doi.org/10.1007/978-3-031-54053-0_33
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