Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo-Latin hypercube sampling based machine learning algorithm

DOI10.1016/j.jfranklin.2022.07.037zbMath1530.93309OpenAlexW4289528705MaRDI QIDQ6136465

Publication date: 17 January 2024

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.07.037

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Automated systems (robots, etc.) in control theory (93C85)

Cites Work

Small sample sensitivity analysis techniques for computer models.with an application to risk assessment
Asymptotic behaviour of S-estimates of multivariate location parameters and dispersion matrices

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