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Issue title: Special section: Soft Computing and Intelligent Systems: Techniques and Applications
Guest editors: Sabu M. Thampi, El-Sayed M. El-Alfy and Ljiljana Trajkovic
Article type: Research Article
Authors: Zhilenkov, Anton A.a | Chernyi, Sergei G.b; c; * | Sokolov, Sergei S.b | Nyrkov, Anatoliy P.b
Affiliations: [a] ITMO University, Kronverkskiy Prospect, Saint Petersburg, Russian Federation | [b] Admiral Makarov State University of Maritime and Inland Shipping, Saint-Petersburg, Russia | [c] Kerch State Maritime Technological University, Ordjonikidze, Kerch, Russia
Correspondence: [*] Corresponding author. Sergei G. Chernyi, Tel.: +7 981 797 26 50; E-mail: [email protected].
Abstract: The safe and reliable navigation of such autonomous systems as unmanned aerial vehicles (UAV) is a complex open problem in robotics, where a robotic system must simultaneously do many tasks of perception, control and localization. This task is especially complicated when working in an uncontrolled, unpredictable environment, for example, on city streets, in wooded areas, etc. In these cases, the autonomous agent must not only be guided to avoid collisions, but also interact safely with other agents in the environment. The developed system allows navigation of unmanned aerial vehicles in difficult environmental conditions. The results of training and the operation of the autonomous navigation system in the forest are presented. The system finds and follows the paths that are fairly difficult to distinguish. The results of field experiments are presented. Presentation of the model is presented on the youtube.com channel.
Keywords: Localization, agent, robotic, control
DOI: 10.3233/JIFS-179741
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 6619-6625, 2020
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