Robust simulation is an academic concept and methodological approach focused on developing computational models that maintain predictive accuracy and reliability despite uncertainties in model parameters, inputs, or environmental conditions. This field investigates techniques for uncertainty quantification, propagation, and management within simulations, characterized by resilience to variations, guaranteed performance bounds under uncertainty, and rigorous validation methodologies. Its significance lies in enabling trustworthy predictions for complex, safety-critical systems where precise knowledge of all parameters is unattainable.