Correcting of the unexpected localization measurement for indoor automatic mobile robot transportation based on a neural network

Abstract The increasing use of mobile robots in laboratory settings has led to a higher degree of laboratory automation. However, when mobile robots move in laboratory environments, mechanical errors, environmental disturbances and signal interruptions are inevitable. This can compromise the accurac...

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Veröffentlicht in:	Transportation safety and environment Online 2024-03, Vol.6 (2)
Hauptverfasser:	Huang, Jiahao, Junginger, Steffen, Liu, Hui, Thurow, Kerstin
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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