Automating Care by Self-maintainability for Full Laboratory Automation
Koji Ochiai, Yuya Tahara-Arai, Akari Kato, Kazunari Kaizu, Hirokazu, Kariyazaki, Makoto Umeno, Koichi Takahashi, Genki N. Kanda, Haruka Ozaki

TL;DR
This paper introduces the concept of self-maintainability (SeM) to enable autonomous adaptation and operational continuity in fully automated laboratories, addressing the critical 'care' tasks often managed by humans.
Contribution
It proposes a novel SeM framework with modular components that allow laboratories to autonomously manage disturbances and execute experiments without human intervention.
Findings
SeM enables autonomous recognition of laboratory state
Dynamic resource management is achieved through SeM
SeM facilitates seamless execution of experiments
Abstract
The automation of experiments in life sciences and chemistry has significantly advanced with the development of various instruments and AI technologies. However, achieving full laboratory automation, where experiments conceived by scientists are seamlessly executed in automated laboratories, remains a challenge. We identify the lack of automation in planning and operational tasks--critical human-managed processes collectively termed "care"--as a major barrier. Automating care is the key enabler for full laboratory automation. To address this, we propose the concept of self-maintainability (SeM): the ability of a laboratory system to autonomously adapt to internal and external disturbances, maintaining operational readiness akin to living cells. A SeM-enabled laboratory features autonomous recognition of its state, dynamic resource and information management, and adaptive responses to…
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Taxonomy
TopicsHealthcare Technology and Patient Monitoring
