[1]
Andò, B., Cantelli, L., Catania, V., Crispino, R., Guastella, D. C., Monteleone, S., & Muscato, G. (2021). An introduction to patterns for the internet of robotic things in the Ambient Assisted Living Scenario. Robotics, 10(2), 56
DOI: 10.3390/robotics10020056
Google Scholar
[2]
Yaovaja, K., & Klunngien, J. (2019). Teleoperation of an industrial robot using a non-standalone 5G Mobile Network. 2019 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)
DOI: 10.1109/ecice47484.2019.8942700
Google Scholar
[3]
Batth, R. S., Nayyar, A., & Nagpal, A. (2018). Internet of robotic things: Driving intelligent robotics of future - concept, architecture, applications and technologies. 2018 4th International Conference on Computing Sciences (ICCS)
DOI: 10.1109/iccs.2018.00033
Google Scholar
[4]
Su, H., Ovur, S. E., Li, Z., Hu, Y., Li, J., Knoll, A., Ferrigno, G., & De Momi, E. (2020). Internet of things (iot)-based collaborative control of a redundant manipulator for teleoperated minimally invasive surgeries. 2020 IEEE International Conference on Robotics and Automation (ICRA)
DOI: 10.1109/icra40945.2020.9197321
Google Scholar
[5]
Rai, U., Patil, M., Singh, A. P., & Arif, W. (2020). An IOT based wireless robotic-hand actuation system for mimicking human hand movement. 2020 International Conference for Emerging Technology (INCET)
DOI: 10.1109/incet49848.2020.9154028
Google Scholar
[6]
Ray, R., Shanker, R., Gupta, H., Sharan, M., & Mohanty, S. (2021). Automated quadruped robot simulation using internet of things and Matlab. Journal of Physics: Conference Series, 2115(1), 012022
DOI: 10.1088/1742-6596/2115/1/012022
Google Scholar
[7]
Yang, G., Zhu, R., Fang, Z., Chen, C.-Y., & Zhang, C. (2020). Kinematic design of a 2r1t robotic end-effector with flexure joints. IEEE Access, 8, 57204–57213
DOI: 10.1109/access.2020.2982185
Google Scholar
[8]
Zhou, H., Yang, G., Lv, H., Huang, X., Yang, H., & Pang, Z. (2020). IOT-enabled dual-arm motion capture and mapping for Telerobotics in home care. IEEE Journal of Biomedical and Health Informatics, 24(6), 1541–1549
DOI: 10.1109/jbhi.2019.2953885
Google Scholar
[9]
E. P. Almendares, J. L. Ordoñez-Avila, y I. Magomedov, «Hierarchical model simulation based on EKF for mobile robots», J. Phys. Conf. Ser., vol. 2373, n.o 7, p.072021, dic. 2022.
DOI: 10.1088/1742-6596/2373/7/072021
Google Scholar
[10]
I. A. Magomedov, J. L. Ordóñez-Ávila, y J. A. Krymshokalova, «Robotic wheel design for passing obstacles based on motion simulations», AIP Conf. Proc., vol. 2647, n.o 1, p.030052, nov. 2022.
DOI: 10.1063/5.0104274
Google Scholar
[11]
I. A. Magomedov, J. L. Ordoñez-Avila, y A. M. Bagov, «Statistical evaluation of a robotic six-wheel structures mechanism based on motion simulation», J. Phys. Conf. Ser., vol. 2373, n.o 7, p.072024, dic. 2022.
DOI: 10.1088/1742-6596/2373/7/072024
Google Scholar
[12]
J. L. Ordoñez-Ávila, F. Danilo Bonilla, y E. D. García, «Development of a teleoperated robot based on an experimental design for sterilization in Honduras», en 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT), dic. 2021, pp.1-6.
DOI: 10.1109/ICMLANT53170.2021.9690534
Google Scholar
[13]
J.L.O. Avila et al., «Study Case: Teleoperated Voice Picking Robots prototype as a logistic solution in Honduras», en 2020 5th International Conference on Control and Robotics Engineering (ICCRE), abr. 2020, pp.19-24. doi:
DOI: 10.1109/iccre49379.2020.9096483
Google Scholar
[14]
V.A. Gerasimov, M.G. Nuriev, D.A. Gashigullin, International Russian Automation Conference /(2022)
Google Scholar
[15]
L. Serrano and M. E. Perdomo, "Development of an Artificial Vision Algorithm for T-shirt Inspection," 2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT), Soyapango, El Salvador, 2022, pp.1-6, doi: 10.1109/ ICMLANT56191.2022.9996506.
DOI: 10.1109/icmlant56191.2022.9996506
Google Scholar
[16]
E. O. Sodiya, U. J. Umoga, O. O. Amoo, and A. Atadoga, AI-driven warehouse automation: A comprehensive review of systems, GSC Advanced Research and Reviews 18(02), 272–282, (2024)
DOI: 10.30574/gscarr.2024.18.2.0063
Google Scholar
[17]
IoT Editorial Office. Acknowledgment to the Reviewers of IoT in 2022. IoT, 4, 56, (2023)
DOI: 10.3390/iot4010003
Google Scholar
[18]
Y. Zhang, Q. Zhu, M. Li, Z. Qin, M. Zhou, and W. Li,"Machine Learning-Based Cross-Layer Design for ResourceAllocation in Cognitive Radio Sensor Networks," IEEETransactions on Vehicular Technology, vol. 68, no. 12, pp.12042-12053, Dec. 2019.
Google Scholar
[19]
N. Clifford, D. Kummer, E. Raman And H. Zhou, Security challenges and solutions in Internet of Things (IoT) environments, Scitech Conferences, 2022, https://doi.org/10.13140/ RG.2.2.32088.10248
Google Scholar
[20]
I. Magomedov, M. Matygov, Z. Dzhabrailov, Mechatronics: Development and Improvement of the Existing Robotic Arm 7 Degree of Freedom, Proceedings of International Workshop "Hybrid methods of modeling and optimization in complex systems" (in the framework of The Eleventh International Conference on Mathematical Models and their Applications), (2022)
DOI: 10.15405/epct.23021.32
Google Scholar