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Artificial intelligence in washing machines: a systematic review.

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Title: Artificial intelligence in washing machines: a systematic review.
Authors: Pembe Muhtaroğlu, F. Canan1 (AUTHOR) canan.pembe@tubitak.gov.tr, Bilgen, İsmail1 (AUTHOR) ibilgen@itu.edu.tr, Delibalta, Murat1 (AUTHOR) murat_delibalta@outlook.com, Kiremit, Erman2 (AUTHOR) erman.kiremit@beko.com, Haklıdır, Mehmet1 (AUTHOR) mehmet.haklidir@tubitak.gov.tr
Source: Neural Computing & Applications. Apr2026, Vol. 38 Issue 8, p1-33. 33p.
Subjects: Artificial intelligence, Washing machines, Laundry industry, Machine learning, Acquisition of data, Condition-based maintenance, Resource allocation, Automation
Abstract: Washing machines have undergone remarkable advancements, transforming laundry from a manual task to an automated process. Recent advancements in artificial intelligence drive the development of fully autonomous washing machines requiring minimal human intervention. Integrating artificial intelligence into washing machines offers substantial improvements in estimating laundry properties, optimizing washing performance and resource consumption, and enabling predictive maintenance. The integration process involves several steps. First, sensor data is collected and preprocessed. Next, artificial intelligence models are developed. Finally, these models are deployed onto the washing machine's microcontroller unit. This review paper explores the state-of-the-art applications of artificial intelligence in washing machines, examining existing studies and highlighting research gaps. We investigate various methodologies employed to improve washing machine autonomy and efficiency, and suggest future research directions to address remaining challenges. To the best of our knowledge, this is the first comprehensive review focusing specifically on artificial intelligence applications in washing machines, providing a foundation for future advancements and innovations in this rapidly evolving field. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Washing machines have undergone remarkable advancements, transforming laundry from a manual task to an automated process. Recent advancements in artificial intelligence drive the development of fully autonomous washing machines requiring minimal human intervention. Integrating artificial intelligence into washing machines offers substantial improvements in estimating laundry properties, optimizing washing performance and resource consumption, and enabling predictive maintenance. The integration process involves several steps. First, sensor data is collected and preprocessed. Next, artificial intelligence models are developed. Finally, these models are deployed onto the washing machine's microcontroller unit. This review paper explores the state-of-the-art applications of artificial intelligence in washing machines, examining existing studies and highlighting research gaps. We investigate various methodologies employed to improve washing machine autonomy and efficiency, and suggest future research directions to address remaining challenges. To the best of our knowledge, this is the first comprehensive review focusing specifically on artificial intelligence applications in washing machines, providing a foundation for future advancements and innovations in this rapidly evolving field. [ABSTRACT FROM AUTHOR]
ISSN:09410643
DOI:10.1007/s00521-026-12027-w