Topic: AI and Robotics for Reliability Engineering - from 2026 ICRE expanded submissions

Reliability engineering is entering a transformative era driven by rapid advancements in artificial intelligence (AI) and robotics. As complex systems become increasingly interconnected, autonomous, and data-rich, traditional reliability methods are being reshaped by intelligent algorithms, adaptive systems, and real-time decision-making capabilities. Against this backdrop, the 2026 International Conference on Reliability Engineering (ICRE 2026) provides a timely platform to showcase cutting-edge innovations at the intersection of AI, robotics, and reliability science.

This Special Issue aims to collect session keynote lecture abstracts, invited speech abstracts, all accepted oral and poster presentation abstracts, as well as high-quality extended versions of selected contributions presented at ICRE 2026, along with related submissions that reflect the latest progress in this rapidly evolving field.

The issue focuses on how AI-driven methodologies and robotic technologies are redefining reliability analysis, system resilience, predictive maintenance, and risk assessment across diverse engineering domains.

Topics of interest include, but are not limited to:

● AI-based reliability modeling, prediction, and optimization;

● Machine learning and deep learning for fault diagnosis and prognostics;

● Intelligent maintenance strategies and predictive analytics;

● Robotics in inspection, maintenance, and hazardous environments;

● Human-robot collaboration and its impact on system reliability;

● Digital twins and cyber-physical systems for reliability enhancement;

● Autonomous systems and reliability assurance;

● Reliability challenges in AI-enabled and robotic systems;

● Data-driven risk analysis and decision-making under uncertainty.

Reliability engineering, AI, robotics, machine learning, predictive maintenance, digital twins, cyber-physical systems, autonomous systems, data-driven modeling, system resilience, intelligent inspection systems