MATHEMATICAL MODELS FOR ENHANCING THE SAFETY AND RELIABILITY OF ROBOTIC SYSTEMS USING ARTIFICIAL INTELLIGENCE
Keywords:
artificial intelligence, robotics, safety, reliability, mathematical modeling, neural networks, optimization.Abstract
This article explores the enhancement of safety and reliability in robotic systems through the application of artificial intelligence technologies. The study emphasizes the use of mathematical modeling methods to evaluate risk factors, error rates, and reliability indicators. Based on neural networks, optimization algorithms, and machine learning models, the paper demonstrates approaches to stabilizing autonomous robot control and ensuring resilience against unexpected failures. The proposed methods are shown to be applicable in industry, healthcare, and defense sectors.
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