Szczegóły publikacji

Opis bibliograficzny

Discussion on different controllers used for the navigation of mobile robot / Ravi RAJ, Andrzej KOS // International Journal of Electronics and Telecommunications ; ISSN 2081-8491. — Tytuł poprz.: Kwartalnik Elektroniki i Telekomunikacji = Electronics and Telecommunications Quarterly. — 2024 — vol. 70 no. 1, s. 229–239. — Bibliogr. s. 237–239, Abstr.

Autorzy (2)

Słowa kluczowe

DLmobile robotAIartificial intelligencehuman-robot interactionAMRHRIMLautonomous mobile robotsPID controllermachine learningdeep learningMR

Dane bibliometryczne

ID BaDAP152446
Data dodania do BaDAP2024-04-18
Tekst źródłowyURL
DOI10.24425/ijet.2024.149535
Rok publikacji2024
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaInternational Journal of Electronics and Telecommunications

Abstract

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.

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#154824Data dodania: 14.8.2024
Learning the dynamics of human patterns for autonomous navigation / Ravi RAJ, Andrzej KOS // W: CPE-POWERENG 2024 [Dokument elektroniczny] : 18th international conference on Compatibility, Power Electronics and Power Engineering : 24-26 June 2024, Gdynia, Poland : conference proceedings / eds. Kalina Detka, Krzysztof Górecki, Paweł Górecki. — Wersja do Windows. — Dane tekstowe. — [USA] : IEEE, cop. 2024. — e-ISBN: 979-8-3503-1826-5. — S. [1-6]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [5-6], Abstr.