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Discussion on different controllers used for the navigation of mobile robot

Autorzy
Raj Ravi , Kos Andrzej
Treść / Zawartość
Pełne teksty:
28-4401-Kos-sk.pdf
Identyfikatory
DOI
10.24425/ijet.2024.149535
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Robots that can comprehend and navigate their surroundings independently on their own are considered intelligent mobile robots (MR). Using a sophisticated set of controllers, artificial intelligence (AI), deep learning (DL), machine learning (ML), sensors, and computation for navigation, MR's can understand and navigate around their environments without even being connected to a cabled source of power. Mobility and intelligence are fundamental drivers of autonomous robots that are intended for their planned operations. They are becoming popular in a variety of fields, including business, industry, healthcare, education, government, agriculture, military operations, and even domestic settings, to optimize everyday activities. We describe different controllers, including proportional integral derivative (PID) controllers, model predictive controllers (MPCs), fuzzy logic controllers (FLCs), and reinforcement learning controllers used in robotics science. The main objective of this article is to demonstrate a comprehensive idea and basic working principle of controllers utilized by mobile robots (MR) for navigation. This work thoroughly investigates several available books and literature to provide a better understanding of the navigation strategies taken by MR. Future research trends and possible challenges to optimizing the MR navigation system are also discussed.
Słowa kluczowe
EN
Wydawca
Polish Academy of Sciences, Committee of Electronics and Telecommunication
Czasopismo
International Journal of Electronics and Telecommunications
Rocznik
2024
Tom
Vol. 70, No. 1
Strony
229--239
Opis fizyczny
Bibliogr. 75 poz., rys., tab.
Twórcy
autor
Raj Ravi
raj@agh.edu.pl
  • Faculty of Computer Science, Electronics, and Telecommunications, AGH University of Science and Technology, Krakow, Poland
autor
Kos Andrzej
  • Faculty of Computer Science, Electronics, and Telecommunications, AGH University of Science and Technology, Krakow, Poland
Bibliografia
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Uwagi
1. Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
2. This work was supported financially by the AGH University of Science and Technology, Krakow, Poland, under subvention no. 16.16.230.434.
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Bibliografia
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