Title: The scientific trend of autonomous localisation of mobile robot: a bibliometric analysis

Authors: Yuanping Yang; Tao Ding; Zhenming Zhang; Xinyan Jiang

Addresses: Key Laboratory of Estuary and Coastal of Zhejiang Province, Hangzhou 310020, China; Zhejiang Institute of Hydraulics and Estuary, Hangzhou 310020, China ' Key Laboratory of Estuary and Coastal of Zhejiang Province, Hangzhou 310020, China; College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China ' College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China ' College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China

Abstract: The purpose of this article is to provide an integrated overview of the current state of knowledge in the field of autonomous localisation of mobile robot. To analyse the knowledge base and research frontier of mobile robot autonomous localisation technology, a comprehensive visualisation analysis is carried out by using bibliometric analysis methods. At present, the basic theory and research system of autonomous positioning technology for robots are basically impeccable. Future research directions involve more fields, broad branches, and increasingly closer international cooperation. Autonomous localisation of mobile robot technology will develop in a more intelligent and autonomous direction.

Keywords: mobile robot; autonomous localisation; bibliometric analysis; artificial intelligence; informetric; visualisation analysis.

DOI: 10.1504/IJEE.2024.141446

International Journal of Environmental Engineering, 2024 Vol.12 No.4, pp.344 - 357

Received: 31 Oct 2022
Accepted: 21 Nov 2023
Published online: 13 Sep 2024 *

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