Application of Artificial Intelligence Methods in the Control of Mobile Robots
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Abstract
This paper analyzes the application of artificial intelligence methods in the control of mobile robots. The proposed method for selecting the optimal artificial intelligence technology allows improving the functional characteristics of the control system of mobile robots and its individual subsystems. This method is based on the optimal coverage of the tasks and procedures solved by the robot control system. The method is based on the description of the initial data in the form of preference relations over a set of alternatives. The least preferred alternative is accepted as a solution to the problem of selecting the optimal information technology. The proposed method was applied to select the optimal artificial intelligence technology in the field of motion control and technical operation in the development of the control system of the "Fregat" mobile robotic irrigation system. This method can be applied in the design of software not only for mobile robots, but also for robots for other purposes. The main purpose of the study is to develop a method for selecting artificial intelligence technology for controlling mobile robots.
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Grazia D’Onofrio, Daniele Sancarlo. Assistive Robots for Healthcare and Human–Robot Interaction. Sensors 2023, 23, 1883. https://doi.org/10.3390/s.23041883 DOI: https://doi.org/10.3390/s23041883
Raj, R.; Kos, A. Study of Human–Robot Interactions for Assistive Robots Using Machine Learning and Sensor Fusion Technologies. Electronics 2024, 13, 3285. https://doi.org/10.3390/electronics13163285 DOI: https://doi.org/10.3390/electronics13163285
Huang R, Li H, Suomi R, Li C, Peltoniemi T. Intelligent Physical Robots in Health Care: Systematic Literature Review. Accepted for/Published in: Journal of Medical Internet Research. Vol 25, 2023. https://preprints.jmir.org/preprint/39786 DOI: https://doi.org/10.2196/39786
Ferasoli-Filho, H., Caldeira, M. A. C., Pegoraro, R., Alves, S. F. R., Valadão, C., & Bastos-Filho, T. F. (2012). Use of Myoelectric Signals to Command Mobile Entertainment Robot by Disabled Children: Design and Control Architecture. 2012 ISSNIP Biosignals and Biorobotics Conference (BRC 2012), IEEE. DOI: https://doi.org/10.1109/BRC.2012.6222160 DOI: https://doi.org/10.1109/BRC.2012.6222160
Alireza Taheri, Adham Atyabi, Ali Meghdari and Minoo Alemi. Editorial: Human-robot interaction for children with special needs. 2023, DOI 10.3389/frobt.2023.1206079 DOI: https://doi.org/10.3389/frobt.2023.1206079
Iacono, I., Lehmann, H., Marti, P., Robins, B., Dautenhahn, K. (2011). Robots as social mediators for children with Autism—A preliminary analysis comparing two different robotic platforms. In 2011. IEEE International Conference on Development and Learning (ICDL) (Vol. 2, pp. 1–6). DOI:10.1109/DEVLRN.2011.6037322 DOI: https://doi.org/10.1109/DEVLRN.2011.6037322
Safarova A.A., Melikov E.A., Magerramova T.M. Principles of modeling and optimal control of a fraction purification reactor from micro impurities, III International scientific and practical conference “Technologies, materials science and engineering” (EEA-III-2024), AIP Conference Proceedings, AIP Publishing, vol. 3243, Issue 1, 020014 (2024). DOI: https://doi.org/10.1063/5.0247869
Melikov E.A., Safarova A.A., Magerramova T.M. Features of modelling in automation for the primary oil refining technological process. In Third International Conference on Digital Technologies, Optics, and Materials Science (DTIEE 2024), SPIE, Vol. 13217, pp. 125-130. https://doi.org/10.1117/12.3035889 DOI: https://doi.org/10.1117/12.3035889
Mammadova K.A., Aliyeva A.A. Intelligent Control System of Multi-motion Mobile Robot. The CAUCASUS Economic & Social Analysis Journal of Southern Caucasus Multidisciplinary Journal Refereed & Reviewed. Georgia, Tbilisi, V.58 (12) ISSUE. 01.2024,pp.78-90 https://papers.ssrn.com/sol3/papers.cfm DOI: https://doi.org/10.36962/CESAJSC5801024-78
Mammadova K.A., Aliyeva A.A Calculatıng the collısıon rısk of a mobıle robot wıth a fuzzy controller ın an envıronment wıth dynamıc obstacles. Reliability: Theory and Applications, Special Issue № 6 (80), Part-2, Volume 19, December 2024. https://doi.org/10.24412/1932-2321-2024- 681 - 245 - 255