Reliability engineering
Related papers: 20
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Reliability engineering is a discipline focused on ensuring that systems, components, and processes perform their intended functions consistently over time, under specified conditions, and without failure. In robotics and AI, it encompasses the design, analysis, and maintenance of robotic systems to maximize dependability and minimize unexpected breakdowns. Key techniques include fault detection and fault-tolerance mechanisms, predictive maintenance using Digital Twins and particle filters to estimate remaining useful life, failure mode analysis, and probabilistic risk assessment using tools such as fault trees. Reliability engineering is applied across diverse robotic domains—unmanned ground vehicles, inspection robots for pipelines and power lines, human-robot collaborative systems, and swarm robotics—where failures can be costly, dangerous, or mission-critical. It matters because robots increasingly operate in hazardous, remote, or safety-critical environments where human intervention is difficult or impossible. By systematically quantifying failure rates, identifying vulnerabilities, and implementing proactive maintenance strategies, reliability engineering enables engineers to build robotic systems that are safer, more robust, and trustworthy in real-world deployments.
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The Concept and Measurement of Quality of Life in the Frail Elderly
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