Automation plays a significant role in the maintenance of nanotechnology systems. Automated systems can perform routine inspections, surface cleaning, and environmental control with high precision and consistency. The integration of Artificial Intelligence (AI) and Machine Learning (ML) algorithms can further enhance maintenance by predicting potential issues before they occur, enabling proactive maintenance strategies.
