Digital Twin-Based Performance Optimization of Industrial Robots
This study proposes a Digital Twin-Based Performance Optimization Framework that combines real-time data acquisition, AI-driven predictive analytics, virtual simulation, and adaptive control within a unified architecture to improve robot availability, predictive maintenance accuracy, energy efficiency, production throu...